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Learn how to initiate RAG based conversation in 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.

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.

Learn how to create your own RAG assistant, streamline repetitive processes, ensure consistent outputs, and add tailored functionality to your workspace.

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.

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 covers about how to export Chats & Conversations in CometAI Platform.

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

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.

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 contact the support team from within the CometAI platform

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

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.

This article guides on how to personalize their experience by choosing between two visual themes: Light and Dark. This setting can be updated at any time from the platform’s settings menu.