Kendo UI for jQuery Inline AI Prompt Overview

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Transcript

Meeting transcript:

<p>Moderator: Good afternoon, everyone. Let's get started. Today's agenda focuses on AI chat technologies and how they're changing the way we interact with users. To kick things off, I'd like to hear your thoughts on the current strengths and weaknesses of AI chatbots. Who'd like to start?</p>

<p>Alex: I can begin. One major strength is availability—AI chatbots can provide instant responses 24/7. This is especially valuable for customer service. However, I think one weakness is context awareness. Bots sometimes struggle to maintain coherent conversations over multiple turns, especially when users switch topics or ask ambiguous questions.</p>

<p>Priya: That's a great point, Alex. I'd add that integration is another challenge. Many organizations want their chatbots to connect with internal databases or CRM systems, but getting those integrations right takes time. On the positive side, I've seen impressive advances in natural language understanding. Some bots now recognize nuances and intent better than ever.</p>

<p>Moderator: Interesting insights. How about ethical considerations? For instance, ensuring users know they're talking to a bot, and handling sensitive data securely. Does anyone have examples of how these issues are addressed in current deployments?</p>

<p>Miguel: Sure. In our company, we make it clear when users are engaging with an AI chat, and we have strict guidelines about what data the bot can collect. We also review chat logs regularly to improve performance and catch any problematic interactions. Overall, as AI chats grow more sophisticated, it's critical to balance innovation with responsibility.</p>

Please note that the responses provided by this demo are generated by artificial intelligence and may not always be accurate or up-to-date. Users are encouraged to verify any information obtained from the demo before relying on it.

Progress is not responsible for any errors, omissions, or inaccuracies in the information provided, nor for any actions taken based on the responses received.

$(document).ready(function () { var hoveredP = ''; $('body').append('<div id="fab-container"><button id="fab" type="button"></button> <div id="inlineAi2"></div></div>'); $("#ai-btn").kendoButton({ icon: "sparkles", themeColor: "primary", size: "medium", rounded: "medium", click: function (e) { let inline = $("#inlineAi").data('kendoInlineAIPrompt'); inline.open(); inline._popup.position(); }, }); $("#inlineAi").kendoInlineAIPrompt({ popup: { width: "462px", }, speechToText: true, readonly: false, placeholder: "Ask AI to Assist with transcript", service: { url: "https://demos.telerik.com/service/v2/ai/completion", }, systemPrompt: (context, prompt) => `${prompt}: ${editor.value()}`, commands: [ { id: "summarise", text: "Summarise", prompt: function(e) { selection = editor.value(); return `Summarize the following text: ${selection}` } }, { id: "explain", text: "Explain", prompt: function(e) { selection = editor.value(); return `Explain the following text: ${selection}` } }, { id: "translate", text: "Translate", items: [ { id: "translate-german", text: "German", prompt: function(e) { selection = editor.value(); return `Translate the following text to German: ${selection}` } }, { id: "translate-spanish", text: "Spanish", prompt: function(e) { selection = editor.value(); return `Translate the following text to Spanish: ${selection}` } }, ], }, ], }); let inline2 = $('#inlineAi2').kendoInlineAIPrompt({ popup: { width: "462px" }, speechToText: true, placeholder: "Ask AI to Assist with paragraph", readonly: false, service: { url: "https://demos.telerik.com/service/v2/ai/completion", }, systemPrompt: (context, prompt) => `${prompt}: ${$(hoveredP).text()}`, commands: [ { id: "summarise", text: "Summarise", prompt: function(e) { selection = $(hoveredP).text(); return `Summarize the following text: ${selection}` } }, { id: "explain", text: "Explain", prompt: function(e) { selection = $(hoveredP).text(); return `Explain the following text: ${selection}` } }, { id: "translate", text: "Translate", items: [ { id: "translate-german", text: "German", prompt: function(e) { selection = $(hoveredP).text(); return `Translate the following text to German: ${selection}` } }, { id: "translate-spanish", text: "Spanish", prompt: function(e) { selection = $(hoveredP).text(); return `Translate the following text to Spanish: ${selection}` } }, ], }, ], }).data("kendoInlineAIPrompt"); var editor = $("#editor") .kendoEditor({ tools: [], }) .data("kendoEditor"); $(editor.body).find('p').css({ 'padding-left': '15px', 'margin-bottom': '10px' }); var fab = $("#fab") .kendoButton({ icon: "sparkles", themeColor: "primary", size: "large", fillMode: "flat", rounded: "small", click: function (e) { inline2.open(); inline2._popup.position(); if($('.k-child-animation-container[aria-hidden="false"]').length > 0) { $('.k-child-animation-container[aria-hidden="false"]').css({ 'margin-top': '-40px', 'margin-left': '50px' }); } }, }) .data("kendoButton"); var fabContainer = $("#fab-container"); fabContainer.hide(); fabContainer.css({ position: "absolute", zIndex: 10000, }); setTimeout(function () { var iframeBody = editor.body; $(iframeBody).on("mouseenter", "p", function (e) { hoveredP = this; var iframe = editor.body; var iframeRect = iframe.getBoundingClientRect(); var paragraphRect = this.getBoundingClientRect(); var editorPos = editor.wrapper.offset(); var paragraphPos = $(this).offset(); var demoRunnerOffset = $("#demo-runner").offset(); var demoWrapperOffset = $(".demo-wrapper").offset(); var buttonLeft = editorPos.left - 48; var buttonTop = paragraphRect.top + demoWrapperOffset.top + demoRunnerOffset.top - 95; fabContainer .css({ left: buttonLeft + "px", top: buttonTop + "px", zIndex: 10200, }) .show(); }); $(iframeBody).on("mouseleave", function () { setTimeout(function () { if (!fabContainer.is(":hover")) { fabContainer.hide(); } }, 150); }); }, 100); }); .k-editor-toolbar { display: none; } .note { font: normal 18px "Metric"; border-radius: 2px; margin: 20px auto 40px auto; padding: 20px; border-left: 4px solid; border-left-color: #5392e4; background: rgba(83, 146, 228, 0.1); text-align: center; } .demo-wrapper { position: relative; margin: auto; padding: 32px; width: 780px; height: 490px; gap: 32px; border-radius: 4px 4px 0 0; box-shadow: 0 0 12px 4px rgba(0, 0, 0, 0.08); }

The Inline AI Prompt component is part of Kendo UI for jQuery, a professional grade UI library with 110+ components for building modern and feature-rich applications. To try it out sign up for a free 30-day trial.

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Description

The Kendo UI for jQuery InlineAIPrompt is a standalone view component that allows users to provide pre-determined ways to interact with a trained language model of your choice. It comprises an integrated textarea, a customizable commands menu, and a SpeechToTextButton.

The Kendo UI for jQuery InlineAIPrompt allows you to take leverage of the AI Completion Services that will ease the process of performing the two-way communication between the user and the large language model. This demo shows how to interact with a large language model through the client-server spectrum.

The current demo shows how the InlineAIPrompt can be used to send prompts and translate, summarize or modify a meeting transcription.

The jQuery InlineAIPrompt control is part of Kendo UI for jQuery, a comprehensive, professional-grade UI library for building modern and feature-rich applications. The Kendo UI for jQuery collection provides 110+ UI components, an abundance of data-visualization gadgets, client-side data source, and a built-in MVVM (Model-View-ViewModel) library.

This InlineAIPrompt example is part of a unique collection of hundreds of jQuery demos, with which you can see all Kendo UI for jQuery components and their features in action. View the source code of the demos from the library or directly adapt, and edit them and their theme appearance in Kendo UI for jQuery Dojo or ThemeBuilder.

Functionality and Features

Streaming–The InlineAIPrompt component allows you to configure custom templates for the returned response.
Templates–The InlineAIPrompt component provides a streaming response support.

Kendo UI for jQuery Inline AI Prompt Overview

Description

Functionality and Features

Support & Learning Resources

Additional Resources