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

The OIT AI Tools Matrix compares approved AI tools for the UTD community, highlighting providers, models, costs, data protections, capabilities, eligible users, and allowed data classification levels-serving as a single reference for compliant AI usage decisions.

This article explores Adobe Firefly, an innovative AI tool in Adobe's ecosystem, and highlights the other Adobe services that UTD students can access to elevate their work.

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

This article guides on how users can create Assistant group interface - NEW feature launched in CometAI 3.0

This article covers the various user-facing CometAI API endpoints available to users. It includes a detailed description of each endpoint, example API requests and URLs, sample request bodies, expected response formats, and guidance on how to test and view responses using Postman. The article also explains the expected data returned by each endpoint, common success and error responses, and provides examples of what a successful API call looks like.

By adjusting parameters like Temperature and Response Length, you can tailor the output to be more creative or precise, and more concise or detailed, depending on your needs. This guide explains how to access and use these settings to optimize your results.

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 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 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.

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