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- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- 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.
- Knowledge Base
- Communication and Collaboration
- Microsoft 365 Applications
- Microsoft Copilot
Discover the differences of UTD's AI options.
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
This article covers about how to contact the support team from within the CometAI platform
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
This article covers about the current issues and bugs that are present in CometAI platform
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
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.
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
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.
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
Learn how to initiate RAG based conversation in CometAI
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- 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.
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
This article covers about how to export Chats & Conversations in CometAI Platform.
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
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.
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
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.
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
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.
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
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.
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
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.
- Knowledge Base
- OIT Internal
- OIT Enterprise Technology Innovation and Services
- CometAI
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.