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Quinncia is a powerful AI-driven career preparation tool available to UT Dallas students. It supports students in building stronger resumes, enhancing LinkedIn profiles, and preparing for job interviews. This article is a detailed guide to help students navigate and maximize the platform's features.

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.

In addition to exporting single messages, CometAI Platform allows you to download an entire conversation, including your prompts and the Language Models responses, into a single, well-structured PowerPoint slide. This feature is ideal for creating a complete transcript of your interaction for records, sharing, or further analysis as required by your faculty or managers.

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

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.

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.

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

Learn how to initiate RAG based conversation 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.

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.

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 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 guides on how users can choose to store conversations either locally on their device or on the cloud for cross-device access