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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.
Discover the differences of UTD's AI options.
This article covers about how to contact the support team from within the CometAI platform
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.
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.
Learn how to initiate RAG based conversation in CometAI
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.
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.