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This article covers about the current issues and bugs that are present in CometAI platform

This article covers the Artifacts feature in CometAI, which allows users to create, manage, and share content like code, documents, and diagrams within a unified workspace. It explains how to enable the feature, use the sidebar tools, preview and edit artifacts, and troubleshoot common issues.

Learn how to initiate RAG based conversation in CometAI

This article covers about how to contact the support team from within the CometAI platform

Comet AI includes a built-in Prompt Optimization tool to help users rewrite vague or unclear prompts into clear, effective instructions. This feature is especially helpful for students, faculty, and staff who want better results without needing to be prompt engineering experts.

This article covers about how to export Chats & Conversations in CometAI Platform.

This article guide provides step-by-step instructions on how to securely log in & log out to the CometAI platform using your UT Dallas NetID and password.

This article explains what Custom Instructions, Prompt Templates & Follow-Up Buttons are, how they work, and how they differ so you know when to use each one.

Follow-Up Buttons are one-click shortcuts that let you run predefined instructions in a conversation. Instead of retyping common follow-up requests, you can create a button that appears automatically, ready to use.

This document explains how to organize and manage your conversations in Comet AI. It covers creating folders, moving and sorting conversations, renaming items, searching, deleting, and archiving conversations and folders. Use these features to keep your workspace organized and efficient.

This article provides a comprehensive overview of the advanced configuration features within CometAI. Understanding and utilizing these settings can significantly enhance the model's performance, efficiency, and relevance for academic research, coursework, and development projects.

The Microsoft Enterprise Skills Initiative (ESI) offers practical training designed to improve technical skills and knowledge related to Microsoft and Azure technologies. ESI provides interactive courses, role-specific training programs, and Microsoft Certifications for participating organizations. Read this article to see the ESI offerings available to UTD members.

This document provides a detailed comparison of the Large Language Models available within the CometAI platform, including those developed by Anthropic, OpenAI, Mistral, and Meta. Each model is analyzed based on its design purpose, technical specifications, pricing, and optimal use cases to help users make informed decisions based on their unique needs.
For step-by-step instructions on how to choose and switch between models, refer to Model Selection in CometAI.

Learn how to create your own RAG assistant, streamline repetitive processes, ensure consistent outputs, and add tailored functionality to your workspace.

This guide explains how to use the Import Conversations and Export Conversations options in the CometAI Platform. Import Conversations let users upload. json (Conversation) files, and Export Conversations let users download all conversations from their current device and browser in a .json file.