Search32 Results

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

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 the range of AI and Gen AI tools offered by The University of Texas at Dallas (UTD). It provides an overview of the available tools, their accessibility for students, faculty, and staff and key details about their functionalities

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 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

This article provides information on leveraging AWS Services like AWS Educate and AWS Emerging Talent Community (ETC) resources to obtain AWS Certification exam vouchers, Digital Badge, and promotional credits.

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

This article explains Retrieval Augmented Generation (RAG) Agents—AI systems that combine information retrieval with generative models to deliver accurate, context-rich responses. It outlines UTD’s support for using such tools responsibly, details their capabilities, and offers best practices for ethical and effective use. It also provides guidance on how to access approved RAG services through UTD.

AWS Builder Center launched in July 2025, consolidating AWS Developer Center and community.aws for a streamlined user experience. It's open to faculty, staff, and students.
Register at builder.aws.com by creating an AWS Builder ID and setting up a profile to get started.

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.