{"id":60544,"date":"2023-12-15T10:58:25","date_gmt":"2023-12-15T10:58:25","guid":{"rendered":"https:\/\/developer.kore.ai\/v10-1\/?p=60544"},"modified":"2024-02-13T11:37:31","modified_gmt":"2024-02-13T11:37:31","slug":"co-pilot-features","status":"publish","type":"post","link":"https:\/\/developer.kore.ai\/v10-1\/docs\/bots\/nlp\/co-pilot-features\/","title":{"rendered":"Co-Pilot Features"},"content":{"rendered":"<section class=\"l-section wpb_row height_auto\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row type_default valign_top\"><div class=\"vc_col-sm-12 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6ae865cc222a1\" data-id=\"6ae865cc222a1\" data-height=\"10\" data-height-mobile=\"10\" data-height-tab=\"10\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div>\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<p><span style=\"font-weight: 400;\">The Co-Pilot features add <\/span><span style=\"font-weight: 400;\">design-time capabilities to accelerate your bot development process using tailored LLM features. <\/span><span style=\"font-weight: 400;\">By default, all the features are disabled. To enable the feature, select the model, prompt (for custom model only), and then toggle the status to enable it. You can select another supported model for a feature if you have configured multiple models. You can also change the model, its prompts, and the respective settings.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Steps to enable the feature:<\/span><\/p>\n<ol>\n<li><span style=\"font-weight: 400;\">Navigate to <\/span><b>Build <\/b>&gt;<b> Natural Language <\/b>&gt;<b> Generative AI &amp; LLM <\/b>&gt;<b> Co-Pilot<\/b>.<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Select the preferred model from the <strong>Model<\/strong> drop-down menu for a feature<\/span><span style=\"font-weight: 400;\">.<br \/>\n<a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231219072233\/image8.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-60820 size-full\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231219072233\/image8.jpg\" alt=\"\" width=\"1912\" height=\"849\" srcset=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231219072233\/image8.jpg 1912w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231219072233\/image8-300x133.jpg 300w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231219072233\/image8-1024x455.jpg 1024w\" sizes=\"auto, (max-width: 1912px) 100vw, 1912px\" \/><\/a><\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">For a pre-built model, the default prompt is used. For a custom model, you can select the prompt from the <strong>Prompt<\/strong> drop-down menu.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Turn on the <strong>Status<\/strong> toggle. The success message is displayed.<\/span><\/li>\n<\/ol>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<div class=\"ult-spacer spacer-6ae865cc225ce\" data-id=\"6ae865cc225ce\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div>\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<h2><span class=\"ez-toc-section\" id=\"Change_Settings_for_a_Model\"><span style=\"font-weight: 400;\">Change Settings for a Model<\/span><\/span><\/h2>\n<p>Choose the option below based on the model for which you want to change the settings:<\/p>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<div class=\"w-tabs style_default switch_click accordion title_atleft icon_chevron iconpos_right \"><div class=\"w-tabs-list items_1\"><div class=\"w-tabs-list-h\"><div class=\"w-tabs-item\"><div class=\"w-tabs-item-h\"><span class=\"w-tabs-item-title\">Change Settings for a Pre-built Model<\/span><\/div><\/div><\/div><\/div><div class=\"w-tabs-sections\"><div class=\"w-tabs-sections-h\"><div class=\"w-tabs-section\" id=\"1703076206589-aa9fd0d2-44e2\"><a href=\"#1703076206589-aa9fd0d2-44e2\" class=\"w-tabs-section-header\"><div class=\"w-tabs-section-header-h\"><h3 class=\"w-tabs-section-title\"><span class=\"ez-toc-section\" id=\"Change_Settings_for_a_Pre-built_Model\">Change Settings for a Pre-built Model<\/span><\/h3><div class=\"w-tabs-section-control\"><\/div><\/div><\/a><div class=\"w-tabs-section-content\"><div class=\"w-tabs-section-content-h i-cf\">\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<p><span style=\"font-weight: 400;\">You can change the selected model\u2019s settings if required. <\/span><b>In most cases<\/b>,<b> the default settings work fine<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Follow these steps:<\/span><\/p>\n<ol>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">Go to\u00a0<\/span><b>Build <\/b>&gt;<b> Natural Language <\/b>&gt;<b> Generative AI &amp; LLM\u00a0<\/b>&gt; <b>Co-Pilot <\/b>or\u00a0<b>Dynamic Conversation<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hover over the feature to view the <\/span><b>Advance Setting<\/b><span style=\"font-weight: 400;\"> (gear) icon.<br \/>\n<a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215113705\/image4-3.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-60559 size-full\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215113705\/image4-3.png\" alt=\"\" width=\"1563\" height=\"685\" srcset=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215113705\/image4-3.png 1563w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215113705\/image4-3-300x131.png 300w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215113705\/image4-3-1024x449.png 1024w\" sizes=\"auto, (max-width: 1563px) 100vw, 1563px\" \/><\/a><\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Click the <\/span><b>Advance Setting<\/b><span style=\"font-weight: 400;\">. The <\/span><b>Advance Settings<\/b><span style=\"font-weight: 400;\"> dialog box is displayed.<br \/>\n<\/span><span style=\"font-weight: 400;\"><a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231220071114\/Advance_Settings.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-60879\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231220071114\/Advance_Settings-350x350.png\" alt=\"\" width=\"500\" height=\"569\" srcset=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231220071114\/Advance_Settings-264x300.png 264w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231220071114\/Advance_Settings.png 660w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/a><\/span><a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20230626144938\/advanced-model-settings.png\"> <span style=\"font-weight: 400;\"><br \/>\n<\/span><\/a><span style=\"font-weight: 400;\">Adjusting the settings allows you to fine-tune the model\u2019s behavior to meet your needs. The default settings work fine for most cases. You can tweak the settings and find the right balance for your use case. A few settings are common in the features, and a few are feature-specific:<\/span><\/li>\n<\/ol>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Model<\/b><span style=\"font-weight: 400;\">: The selected model for which the settings are displayed.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Instructions or Context<\/b><span style=\"font-weight: 400;\">: Add feature\/use case-specific instructions or context to guide the model.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Temperature<\/b><span style=\"font-weight: 400;\">: The setting controls the randomness of the model\u2019s output. A higher temperature, like 0.8 or above, can result in unexpected, creative, and less relevant responses. On the other hand, a lower temperature, like 0.5 or below, makes the output more focused and relevant.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Max Tokens<\/b><span style=\"font-weight: 400;\">: It indicates the total number of tokens used in the API call to the model. It affects the cost and the time taken to receive a response. A token can be as short as one character or as long as one word, depending on the text.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Number of Previous User Inputs<\/b><span style=\"font-weight: 400;\">: Indicates how many previous user messages should be sent to the model as context for rephrasing the response sent through the respective node. For example, 5 means that the previous 5 responses are sent as context.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Additional Instructions<\/b><span style=\"font-weight: 400;\">: Add specific instructions on how prompts should be rephrased. You can create a persona, ask it to rephrase in a particular tone, etc.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Similarity Threshold<\/b><span style=\"font-weight: 400;\">: The Similarity Threshold is applicable for the Answer from Docs feature. This threshold refers to the similarity between the user utterance and the document chunks. The platform shortlists all chunks that are above the threshold and sends these chunks to the LLMs to auto-generate the responses. Define a suitable threshold that works best for your use case. Setting a higher threshold limits the number of chunks and may not generate any result. Setting a lower threshold might qualify too many chunks and might dilute the response.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<\/div><\/div><\/div><\/div><\/div><\/div><div class=\"w-tabs style_default switch_click accordion title_atleft icon_chevron iconpos_right \"><div class=\"w-tabs-list items_1\"><div class=\"w-tabs-list-h\"><div class=\"w-tabs-item\"><div class=\"w-tabs-item-h\"><span class=\"w-tabs-item-title\">Change Settings for a Custom Model<\/span><\/div><\/div><\/div><\/div><div class=\"w-tabs-sections\"><div class=\"w-tabs-sections-h\"><div class=\"w-tabs-section\" id=\"1703082550738-84909343-0e74\"><a href=\"#1703082550738-84909343-0e74\" class=\"w-tabs-section-header\"><div class=\"w-tabs-section-header-h\"><h3 class=\"w-tabs-section-title\"><span class=\"ez-toc-section\" id=\"Change_Settings_for_a_Custom_Model\">Change Settings for a Custom Model<\/span><\/h3><div class=\"w-tabs-section-control\"><\/div><\/div><\/a><div class=\"w-tabs-section-content\"><div class=\"w-tabs-section-content-h i-cf\">\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<p><span style=\"font-weight: 400;\">For a custom model, you can only change the post-processor script to adjust the actual response with the expected response.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Follow these steps:<\/span><\/p>\n<ol>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">Go to\u00a0<\/span><b>Build <\/b>&gt;<b> Natural Language <\/b>&gt;<b> Generative AI &amp; LLM\u00a0<\/b>&gt; <b>Co-Pilot<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hover over the feature to view the <\/span><b>Setting<\/b><span style=\"font-weight: 400;\"> (gear) icon.<br \/>\n<a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215113934\/image3-1-1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-60565 size-full\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215113934\/image3-1-1.png\" alt=\"\" width=\"1574\" height=\"622\" srcset=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215113934\/image3-1-1.png 1574w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215113934\/image3-1-1-300x119.png 300w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215113934\/image3-1-1-1024x405.png 1024w\" sizes=\"auto, (max-width: 1574px) 100vw, 1574px\" \/><\/a><\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Click <\/span><b>Edit<\/b><span style=\"font-weight: 400;\">. The Actual Response is displayed.<br \/>\n<a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114027\/image6-2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-60568 size-full\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114027\/image6-2.png\" alt=\"\" width=\"1884\" height=\"663\" srcset=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114027\/image6-2.png 1884w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114027\/image6-2-300x106.png 300w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114027\/image6-2-1024x360.png 1024w\" sizes=\"auto, (max-width: 1884px) 100vw, 1884px\" \/><\/a><\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Click <\/span><b>Configure<\/b><span style=\"font-weight: 400;\">. The Post Processor Script is displayed.<br \/>\n<a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114116\/image12-2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-60571 size-full\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114116\/image12-2.png\" alt=\"\" width=\"1536\" height=\"847\" srcset=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114116\/image12-2.png 1536w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114116\/image12-2-300x165.png 300w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114116\/image12-2-1024x565.png 1024w\" sizes=\"auto, (max-width: 1536px) 100vw, 1536px\" \/><\/a><\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Modify the script and click <\/span><b>Save &amp; Test<\/b><span style=\"font-weight: 400;\">. The Response is displayed.<br \/>\n<a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114219\/image11-2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-60574 size-full\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114219\/image11-2.png\" alt=\"\" width=\"1533\" height=\"838\" srcset=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114219\/image11-2.png 1533w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114219\/image11-2-300x164.png 300w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231215114219\/image11-2-1024x560.png 1024w\" sizes=\"auto, (max-width: 1533px) 100vw, 1533px\" \/><\/a><\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Click <\/span><b>Save<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ol>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<\/div><\/div><\/div><\/div><\/div><\/div><div class=\"ult-spacer spacer-6ae865cc23010\" data-id=\"6ae865cc23010\" data-height=\"28\" data-height-mobile=\"28\" data-height-tab=\"28\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div>\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<h2><span class=\"ez-toc-section\" id=\"Model_and_Feature_Support_Matrix\"><span style=\"font-weight: 400;\">Model and Feature Support Matrix<\/span><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The following table displays the Co-Pilot features and the supported models.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">(<\/span><span style=\"font-weight: 400;\">\u2705 Supported | <\/span><span style=\"font-weight: 400;\">\u274c Not supported)<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Model\/Feature<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Automatic Dialog Generation<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Conversation Test Case Suggestions<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Conversation Summary<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NLP Batch Test Case Suggestions<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Training Utterance Suggestions<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Azure OpenAI \u2013 GPT 3.5 Turbo<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u274c<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Azure OpenAI \u2013 GPT 4<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u274c<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">OpenAI \u2013 GPT 3.5 Turbo<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u274c<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">OpenAI \u2013 GPT 4<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u274c<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Anthropic \u2013 Claude Instant<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u274c<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Anthropic \u2013 Claude<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u274c<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Custom LLM<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Kore.ai XO GPT<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u274c<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u274c<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u2705<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u274c<\/span><\/td>\n<td><span style=\"font-weight: 400;\">\u274c<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<div class=\"alert alert-info\"><b>Note<\/b>: <span style=\"font-weight: 400;\">Azure OpenAI and OpenAI have officially ended support for their GPT-3 model on January 4, 2024. We recommend selecting a higher or alternate model for supported features as soon as possible. <a href=\"https:\/\/platform.openai.com\/docs\/deprecations\" target=\"_blank\" rel=\"noopener noreferrer\">Learn more<\/a>.<\/span><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Feature_Details\"><span style=\"font-weight: 400;\">Feature Details<\/span><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Automatic_Dialog_Generation\">Automatic Dialog Generation<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This feature auto-generates conversations and dialog flows in the selected language using the VA\u2019s purpose and intent description provided (in English or the selected Non-English Bot Language) during the creation process. The Platform uses LLM and generative AI to create suitable Dialog Tasks for Conversation Design, Logic Building &amp; Training by including the required nodes in the flow.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You must provide an intent description, and the Platform handles the Conversation Generation for the Dialog Flow.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can preview the conversation flow, view the Bot Action taken, improvise the intent description, and regenerate the conversation to make it more human-like.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The nodes and the flow for the Business Logic are automatically built for your conversation, and you only need to configure the flow transition.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Platform auto-defines the Entities, Prompts, Error Prompts, Bot Action nodes, Service Tasks, Request Definition, Connection Rules, and other parameters.<\/span><\/p>\n<p><a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20230317112438\/autogenerate-dialog-task.gif\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-55961\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20230317112438\/autogenerate-dialog-task.gif\" alt=\"\" width=\"1906\" height=\"848\" \/><\/a><\/p>\n<p><strong>Usage<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">Once you enable this feature:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The Platform triggers the flow when you launch a task for the first time.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The Platform presents the intent description and an option to generate conversation.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">You can preview the generated conversation, edit the description, and regenerate it.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The Platform sends the updated description to Generative AI in the background to get the new conversation.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Once you\u2019re satisfied with the conversation, generate a dialog task.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">If this feature is disabled, you will not have the option to auto-generate a dialog flow when first launching a Dialog Task.<\/span><\/p>\n<table style=\"width: 100%; border-collapse: collapse; background-color: #fffbea; height: 55px;\">\n<tbody>\n<tr style=\"height: 55px;\">\n<td style=\"width: 100%; height: 55px;\"><strong>Note<\/strong><span style=\"font-weight: 400;\">: The Platform uses the configured API Key to authorize and generate the suggestions from OpenAI.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/developer.kore.ai\/v10-1\/docs\/bots\/chatbot-overview\/using-the-dialog-builder-tool\/#Auto-Generate_Dialog_Tasks\"><span style=\"font-weight: 400;\">Learn more.<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Conversation_Test_Cases_Suggestions\">Conversation Test Cases Suggestions<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This feature provides a regression tool or a Playbook that creates a conversation test suite for each intent (new and old) in English or Non-English Bot language to evaluate the impact of the change on the conversation execution.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20230317112226\/conv-test.gif\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-55943\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20230317112226\/conv-test.gif\" alt=\"\" width=\"1906\" height=\"808\" \/><\/a><\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can view input\/utterance suggestions at every conversation step simulating the various input types and scenarios. This feature helps check if the task\/intent is robust enough to handle random user utterances.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This feature also helps you predict and simulate the end user\u2019s behavior and check if the VA can execute all the defined flows by generating user responses and presenting any digressions from the specified intent.<\/span><\/p>\n<p><strong>Usage<\/strong><\/p>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">You can create a test suite by recording a live conversation with a VA by initiating the interaction or letting the VA initiate it.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">An icon displays to indicate the user input suggestions from Generative AI.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The Platform triggers OpenAI or Anthropic Claude-1 based on your model selection to generate suggestions for user input where expected in English or a Non-English Bot Language.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The Platform shares the following information with OpenAI\/Anthropic to generate suggestions<\/span><\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Randomly picked intents from the VA (Dialog, FAQ),<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Conversation flow,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Current Intent, if any,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Current node type:<\/span>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">For an entity node, the system sends the following:<\/span>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Entity name,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Entity type,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Sample entity values.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Types of user input scenarios:<\/span>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Entities,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Without entities,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Different entity combinations in the user input,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Digression to another intent,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Trigger error scenarios.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">You can regenerate suggestions if required.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">You can accept the suggestions shown or type custom input at every step.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Create a Test Suite after stopping the recording and validating the model.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">If the feature is disabled, the Platform doesn&#8217;t display the Generative AI suggestions icon and the suggestions themselves.<\/span> <a href=\"https:\/\/developer.kore.ai\/v10-1\/docs\/bots\/test-your-bot\/create-a-test-suite\/#Generated_User_Response_Suggestions\"><span style=\"font-weight: 400;\">Learn more.<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Conversation_Summary\">Conversation Summary<\/span><\/h3>\n<p>This feature generates concise, natural language summaries of interactions between the virtual assistant, users, and human agents. It distills the key intents, entities, decisions, and outcomes into an easy-to-read synopsis. Companies can leverage conversation summarization to boost agent productivity, ensure process compliance, and create better contextual recommendations \u2013 without having to read lengthy transaction histories. It is pre-integrated with Kore.ai\u2019s Contact Center platform. It is also extensible to third-party applications via API integration.<\/p>\n<div class=\"alert alert-info\"><strong>Note<\/strong>: For existing bots, by default, the feature is enabled with the Kore.ai XO GPT Model. For new bots, the feature is disabled.<\/div>\n<div><span style=\"font-weight: 400;\">This feature is broadly implemented in two scenarios discussed below:<\/span><\/div>\n<p><b>Scenario 1<\/b><\/p>\n<p><span style=\"font-weight: 400;\">In a contact center environment, the customer interacting with a VA may request to transfer to a live agent. During agent handoff, the agent must have the necessary context information and interaction history to assist the customers efficiently. The system generates the conversation transcript and interaction summary and routes it to the agent for better understanding.<\/span><\/p>\n<p>An example of the usage: When Conversation Summary is enabled and the conversation is transferred to an agent in SmartAssist, the Conversation Summary is displayed on the Agent Console, as shown in the screenshot below.<\/p>\n<p><span style=\"font-weight: 400;\"><a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20240212134103\/conversation-summary.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-61183\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20240212134103\/conversation-summary.png\" alt=\"Conversation Summary Generated by XO GPT\" width=\"400\" height=\"405\" srcset=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20240212134103\/conversation-summary.png 742w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20240212134103\/conversation-summary-296x300.png 296w, https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20240212134103\/conversation-summary-100x100.png 100w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a><\/span><\/p>\n<p><b>Usage<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/developer.kore.ai\/v10-1\/docs\/bots\/api-guide\/conversation-summary-api\/#:~:text=The%20API%20summarizes%20the%20conversation,an%20auto%2Dgenerated%20conversation%20summary.\"><span style=\"font-weight: 400;\">Conversation Summary<\/span><\/a><span style=\"font-weight: 400;\"> public API fetches the summary of the entire conversation included in the transcript. LLM and Generative AI are leveraged to provide a concise and informative conversation summary from the transcript.<\/span><\/p>\n<p><b>Scenario 2<\/b><\/p>\n<p><span style=\"font-weight: 400;\">When closing a conversation request, contact centers require an agent to summarize the customer interaction and context in their closing notes to confirm that the issue has been resolved effectively. Closing notes help document the interactions, provide context for future interactions, support quality assurance efforts, and serve as references to deliver effective customer service.<\/span><\/p>\n<p><b>Usage<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The system uses the <\/span><a href=\"https:\/\/developer.kore.ai\/v10-1\/docs\/bots\/api-guide\/conversation-summary-api\/#:~:text=The%20API%20summarizes%20the%20conversation,an%20auto%2Dgenerated%20conversation%20summary.\"><span style=\"font-weight: 400;\">Conversation Summary<\/span><\/a><span style=\"font-weight: 400;\"> public API to fetch the details of the entire conversation between the customer and the VA or agent. <\/span><span style=\"font-weight: 400;\">The API uses the Flan-T5 foundational model to summarize conversations using a large number of sample conversation transcripts.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"NLP_Batch_Test_Cases_Suggestions\">NLP Batch Test Cases Suggestions<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This feature lets you generate test cases based on the NLU Language selected, and add them to the test suite with minimum or no errors. You can give instructions in English or any Non-English bot language you&#8217;ve selected. Additionally, in case of a Multilingual NLU, the system generates utterances in the language prompted by the user. For instance, if your instructions are in Hindi, the utterances are generated in Hindi.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20230317112153\/batch-testing.gif\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-55937\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20230317112153\/batch-testing.gif\" alt=\"\" width=\"1906\" height=\"808\" \/><\/a><\/span><\/p>\n<p><strong>Usage<\/strong><\/p>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">When creating a New Test Suite, select <\/span><strong>Add Manually<\/strong><span style=\"font-weight: 400;\"> or <\/span><strong>Upload Test Cases File<\/strong><span style=\"font-weight: 400;\"> to add test cases.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><strong>Add Manually <\/strong><span style=\"font-weight: 400;\">creates an empty test suite where you can generate test cases and do the following:<\/span><\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Select a Dialog Task.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Based on the intent context, the Generative AI generates test cases you can review and add to or remove from the Test Suite.<\/span><\/li>\n<\/ul>\n<ol start=\"3\">\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">When you click <\/span><strong>Generate Test Cases<\/strong><span style=\"font-weight: 400;\">, the Platform sends Generative AI (OpenAI or Anthropic Claude-1 model based on your selection) the following information to generate test cases:<\/span><\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Intent<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Entities<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Probable entity value<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Different scenarios to simulate end-user utterances,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Random training utterances and test cases that are generated to avoid duplicate test cases from Generative AI.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">If this feature is disabled, you will not have the option to generate test cases during batch testing.<\/span> <a href=\"https:\/\/developer.kore.ai\/v10-1\/docs\/bots\/test-your-bot\/batch-testing\/batch-testing\/#Generating_Test_Cases_Automatically\"><span style=\"font-weight: 400;\">Learn more.<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Training_Utterance_Suggestions\">Training Utterance Suggestions<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This feature generates a list of suggested training utterances and NER annotations based on the selected NLU language for each intent description and Dialog Flow, eliminating the need for manual creation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20230317112330\/training-suggestions.gif\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-55958\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20230317112330\/training-suggestions.gif\" alt=\"\" width=\"1906\" height=\"808\" \/><\/a><\/span><\/p>\n<p><strong>Usage<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">The Platform can generate utterances in the NLU language to train your VA.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Once you request to generate utterances for a given intent, the Platform provides utterance suggestions (in the selected NLU language) based on the following information:\u00a0<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Intent<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Entities and Entity Types<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Probable entity values<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Different scenarios for training utterances based on entities, a combination of entities, structurally different utterances, etc.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">You can add\/delete the suggested training utterances from the list or generate more suggestions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If this feature is disabled, you won\u2019t see the Suggestions tab on the training page.<\/span> <a href=\"https:\/\/developer.kore.ai\/v10-1\/docs\/bots\/chatbot-overview\/using-the-dialog-builder-tool\/#Automatically_Generate_Utterance_Suggestions\"><span style=\"font-weight: 400;\">Learn more.<\/span><\/a><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Use_Case_Suggestions\"><span style=\"font-weight: 400;\">Use Case Suggestions<\/span><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">In the standard Virtual Assistant creation journey, use case suggestions help <\/span><span style=\"font-weight: 400;\">link the standard bot to a business scenario. Based on the selected use case, the system identifies and creates specific dialog tasks or interactions that the virtual assistant should be able to handle.<\/span><\/p>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<div class=\"w-message color_blue\"><div class=\"w-message-body\"><p><b>Note<\/b>: This feature is only available if <b>Default Language<\/b> is set to English.<\/p><\/div><\/div>\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<p><span style=\"font-weight: 400;\">Generating Use Cases <\/span><span style=\"font-weight: 400;\">automatically creates up to 30 customizable <\/span><a href=\"https:\/\/developer.kore.ai\/v10-1\/docs\/bots\/bot-builder-tool\/dialog-task\/dialog-tasks\/\"><span style=\"font-weight: 400;\">Dialog Tasks<\/span><\/a><span style=\"font-weight: 400;\"> tailored to specific use cases. This streamlines the development process, as developers won&#8217;t need to manually create each interaction from scratch.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">LLM and Generative AI help generate accurate suggestions automatically without configuring any LLM settings for this feature. Providing a detailed bot description is crucial for the effective functioning of this feature. The more information you provide about the virtual assistant&#8217;s intended purpose and capabilities, the better the generated use case suggestions will be.<\/span><\/p>\n<p><b>Usage<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The user initiates a new standard virtual assistant creation on the XO Platform.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The user provides the Bot Name and selects the following:<\/span><\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Purpose\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><i><span style=\"font-weight: 400;\">Standard Bot<\/span><\/i><span style=\"font-weight: 400;\"> for <\/span><b>Bot Type<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><i><span style=\"font-weight: 400;\">English<\/span><\/i><span style=\"font-weight: 400;\"> for <\/span><b>Default Language<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ul>\n<ol start=\"3\">\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">When adding the short Bot description, the user must include specific details on the high-level scenarios the Bot needs to handle.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The user generates use case suggestions by clicking <\/span><b>Get Use Cases<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Based on the user&#8217;s description, the system generates improved use case suggestions with the help of the OpenAI Model.<\/span><\/li>\n<\/ol>\n<p><a ref=\"magnificPopup\" href=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231018095614\/use-case-suggestions-va.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-59897\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v10-1\/wp-content\/uploads\/sites\/35\/20231018095614\/use-case-suggestions-va.png\" alt=\"\" width=\"650\" height=\"500\" \/><\/a><\/p>\n<ol start=\"6\">\n<li>The user selects the relevant use cases from the suggestions to create and configure the VA accordingly.<\/li>\n<\/ol>\n<p>If you select Create without use cases when creating a bot, the system won\u2019t provide use case suggestions for VA creation. Only the default Dialogs for Welcome and Fallback tasks are created for the VA. <a href=\"https:\/\/developer.kore.ai\/v10-1\/docs\/bots\/chatbot-overview\/getting-started-bots\/#Create_a_Standard_Virtual_Assistant\" target=\"_blank\" rel=\"noopener noreferrer\">Learn more<\/a>.<\/p>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t\r\n\t\t<\/div>\r\n\t<\/div>\r\n<div class=\"ult-spacer spacer-6ae865cc24070\" data-id=\"6ae865cc24070\" data-height=\"10\" data-height-mobile=\"10\" data-height-tab=\"10\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"The Co-Pilot features add design-time capabilities to accelerate your bot development process using tailored LLM features. By default, all the features are disabled. To enable the feature, select the model, prompt (for custom model only), and then toggle the status to enable it. You can select another supported model for a feature if you have...","protected":false},"author":33,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[203,6],"tags":[],"class_list":["post-60544","post","type-post","status-publish","format-standard","hentry","category-llm-and-generative-ai","category-nlp"],"_links":{"self":[{"href":"https:\/\/developer.kore.ai\/v10-1\/wp-json\/wp\/v2\/posts\/60544","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/developer.kore.ai\/v10-1\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/developer.kore.ai\/v10-1\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/developer.kore.ai\/v10-1\/wp-json\/wp\/v2\/users\/33"}],"replies":[{"embeddable":true,"href":"https:\/\/developer.kore.ai\/v10-1\/wp-json\/wp\/v2\/comments?post=60544"}],"version-history":[{"count":32,"href":"https:\/\/developer.kore.ai\/v10-1\/wp-json\/wp\/v2\/posts\/60544\/revisions"}],"predecessor-version":[{"id":61224,"href":"https:\/\/developer.kore.ai\/v10-1\/wp-json\/wp\/v2\/posts\/60544\/revisions\/61224"}],"wp:attachment":[{"href":"https:\/\/developer.kore.ai\/v10-1\/wp-json\/wp\/v2\/media?parent=60544"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/developer.kore.ai\/v10-1\/wp-json\/wp\/v2\/categories?post=60544"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/developer.kore.ai\/v10-1\/wp-json\/wp\/v2\/tags?post=60544"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}