There are 1 repository under falcon-7b topic.
Finetuning of Falcon-7B LLM using QLoRA on Mental Health Conversational Dataset
Code and resources showcasing the Retrieval-Augmented Generation (RAG) technique, a solution for enhancing data freshness in Large Language Models (LLMs). Incorporate up-to-date external knowledge into LLM-generated responses. Additionally, this repository includes a Gradio-based user interface for seamless model deployment.
Simply input any YouTube video URL, and watch in awe as AI analyzes the content and provides answers to your questions in real-time. 🤯 Study smarter, save time, and unlock a whole new level of video interaction!
Solving the Enem exam with LLMs
"Chatea con PDF" es una aplicación de chat que utiliza el potente modelo de lenguaje Falcon 7B con licencia Apache 2 para interactuar con archivos PDF. Dame uns estrella y sigueme.
This is course project for DSCI 6004 deals with fine-tuning a pretrained model llm with a custom data
An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.
This Midjourney prompt generator makes digital creators life easier by generating some specific prompts for Midjourney which enables them to generate more accurate and realistic images as per their needs.
Caption-Studio: Unleash the power of cutting-edge language models and image recognition to effortlessly generate captivating captions for your images. Elevate your social media game with expertly crafted, attention-grabbing captions that perfectly complement your visuals.
Streamlit chatbot app that can answer questions based on a pdf. see the readme for more information
an AI companion that listens to you when no one else does
GenAI-powered conversational fashion outfit generator. Social trends meet 44k+ products. Elevate style with personalized outfit inspirations.
Comfy is a Discord-bot powerd by Falcon-7b, finetuned with the counsel-chat dataset using the Lit-GPT library
A cybersecurity chatbot built using open-source LLMs namely Falcon-7B and Llama-2-7b-chat-hf. The models are fine-tuned on a custom question-answer dataset compiled from the OWASP Top 10 and CVEs from NVD.