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This document provides a detailed comparison of the Large Language Models available within the CometAI platform, including those developed by Anthropic, OpenAI, Mistral, Meta, Gemini, Grok, & NVIDIA. 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. Review this document from time to time for updated Model Information in CometAI.

This document provides a high-level comparison of leading language models currently available within the CometAI platform. The models, developed by Anthropic, OpenAI, Mistral, and Meta, are evaluated across performance strengths, cost-efficiency, and best-fit use cases for academic and enterprise environments. This guide is designed to help faculty and staff select the most appropriate model for tasks such as summarization, writing, planning, coding, and visual document interpretation.

This article provides information about CometAI model lifecycle status, outlining upcoming deprecations and End-of-Life (EOL) dates to help users plan for continuity. It includes a master deprecation table with removal dates and recommended successor models, plus notes explaining key lifecycle definitions and implications of using deprecated models.

This article covers all the updates happening in CometAI for the Year 2026.

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.

Discover the differences of UTD's AI options.

This article guides how to collaborate by letting you share conversations, prompts, and assistants with other users on the platform.

Learn how to initiate RAG based conversation in CometAI

A Follow-Up Button is a shortcut that lets you send common replies without typing. It appears in conversations when specific tags are present, allowing you to send common responses or actions quickly. It streamlines interactions by offering relevant shortcuts based on the context of the conversation.

Read this article to become familiar with CometAI features.

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

Custom Instructions are a set of guidelines established at the beginning of a conversation with CometAI to guide it's behavior. Establishing elements can determine the tone, style and structure to how CometAI responds to prompts.

A Prompt Template is a reusable structure that simplifies the creation of AI-generated responses for common tasks. Users will be able to define variable placeholders - such as audience, tone, or topic - that can be quickly customized each time the prompt is used. By using templates, users can streamline repetitive tasks like drafting emails or creating social media posts, reducing the need to rewrite similar prompts and improving workflow efficiency.

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.

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.