This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Supercharge Your LLM Application Evaluations 🚀

Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

All things prompt engineering

A repository of code samples for Vector search capabilities in Azure AI Search.

Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

[ACL 2024] Progressive LLaMA with Block Expansion.

UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab.

UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.

[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

Github repo with tutorials to fine tune transformers for diff NLP tasks

Built a sentiment analysis model to predict the sentiment of a Financial News article. A comparative study of different optimizers used for training was done.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Build ChatGPT over your data, all with natural language

Analysing Disaster related tweets dataset and build a classifier using deep learning and deploy it using Heroku

Codes for ACL 2023 paper: Reasoning Implicit Sentiment with Chain-of-Thought Prompting

Google Research

Jupyter notebooks for the Natural Language Processing with Transformers book

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

TensorFlow code and pre-trained models for BERT