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alpaca-lora

Instruct-tune LLaMA on consumer hardware

applicationsbuildwithllms

ask-multiple-pdfs

A Langchain app that allows you to chat with multiple PDFs

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-llmops

An awesome & curated list of best LLMOps tools for developers

building-and-evaluating-advanced-rag-applications

Jupyter notebooks for course Building and Evaluating Advanced RAG Applications, taught by Jerry Liu (Co-founder and CEO of LlamaIndex) and Anupam Datta (Co-founder and chief scientist of TruEra).

building-systems-with-the-chatgpt-api

In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.

casalioy

♾️ toolkit for air-gapped LLMs on consumer-grade hardware

chatgpt-prompt-engineering-for-developers

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

chatgpt-retrieval

cs224n

Solutions for CS224n (2022)

cs224n-win2223

Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023

data-structures-and-algorithmic-thinking-with-python

Data Structure And Algorithmic Thinking With Python

databricks-ml-examples

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-pytorch-huggingface

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

fastai-course-v3

The 3rd edition of course.fast.ai

fastai-course22

The fast.ai course notebooks

fastbook

The fastai book, published as Jupyter Notebooks

finetuning-large-language-models

Jupyter notebooks for course Finetuning Large Language Models, taught by Sharon Zhou (Lamini) and Andrew Ng (DeepLearning.AI).

gcp-generative-ai

Sample code and notebooks for Generative AI on Google Cloud

generative-ai-for-beginners

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

generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

get-things-done-with-prompt-engineering-and-langchain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

gpt4all

gpt4all: open-source LLM chatbots that you can run anywhere

haystack-and-mistral-7b-rag-implementation

Haystack and Mistral 7B RAG Implementation. It is based on completely open-source stack.

how-to-learn-deep-learning

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

jalammar.github.io

Build a Jekyll blog in minutes, without touching the command line.

langchain-ask-pdf

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.