LLM RAG Project for Food Content Information Chatbot
-
Updated
Jun 25, 2023 - Python
LLM RAG Project for Food Content Information Chatbot
Experiments with Large Language Models (LLM)
General purpose virtual assistant with GUI and LLMs.
Question Answering with LangChain and OpenAI on customize documents.
프롬프트 엔지니어링 가이드 한국어 번역 기여자를 위한 용어집 사이트
Fine-tuning Llama2-7b and other llms for categorising emails for Deutsche Bahn (German National Railways)
Write your own LOTR story with LORA BLOOM-3B
A repository for an extractive question-answering model using Python and Haystack.
Code of our paper "Method-Level Bug Severity Prediction using Source Code Metrics and LLMs" which is accepted to ISSRE 2023.
Create Own ChatGPT with your documents using streamlit UI on your own device using GPT models. No data leaves your device and 100% private.
ESMFold - Evolutionary-scale prediction of atomic-level protein structure with a language model
This repository contains some of the most influential papers of on the RLHF technique of fine-tuning LLMs.
This project utilizes a machine learning model where consumer brand data is employed. Initially, a preliminary model is developed, followed by a refined model using a process called 'fine-tuning' to improve results. Additionally, a comprehensive testing suite has been created to validate accuracy and reliability of the model's predictions.
Here, you can find how to deal with a big text when feeding it to a Large Language Model. The provided code is efficient for the English language. BTW, it can work properly for other languages such as French. However, you can change the pre-trained model based on your text language to get higher accuracy (if needed).
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.
Finetuning Mistral 7B on google colab
The github repository of ChatLM.
The MultiPDF Chat App is a Python application that allows you to chat with multiple PDF documents. You can ask questions about the PDFs using natural language, and the application will provide relevant responses based on the content of the documents. This app utilizes a language model to generate accurate answers to your queries.
Add a description, image, and links to the largelanguagemodel topic page so that developers can more easily learn about it.
To associate your repository with the largelanguagemodel topic, visit your repo's landing page and select "manage topics."