- Sebastian Raschka Understanding Large Language Models - A Transformative Reading List
- Andrew Ng Tweet ask abot LLMs paper list
- Lambdalabs: OpenAI GPT-3 Language Model: A Technical Overview
- Lambdalabs: GPT-3 A Hitchhikers Guide
- The GPT-3 Architecture
- Karpathy online course for nanoGPT
- OpenAI-cookbook: https://github.com/openai/openai-cookbook
- OpenAI Tutotials: Website Q&A Embeddings
- Twilio: ultimate guide to OpenAI GPT3
- Build a personal chatbot with OpenAI GPT3: Lenny Chatbot: https://colab.research.google.com/drive/1p2AablavDkSXly6H-XNLoSylMtoz7NDG?usp=sharing&utm_source=substack&utm_medium=email
- Multiple Input web/audio/text with OpenAI GPT3 by Jesse Zhang: https://jessezhang.org/llmdemo
- VideoQues : A tool that answers your queries on YouTube videos. [LinkedIn post here]
- DocsQues : A tool that answers your questions on longer documents (including .pdfs!) [LinkedIn post here]
- Humanta: ChatGPT for your files
- GPT Index: https://gpt-index.readthedocs.io/en/latest/?utm_source=substack&utm_medium=email
- Openai-to-sqlite : Save OpenAI API results to a SQLite database
- Embetter : a bunch of useful embeddings
- Standford_alpaca https://github.com/tatsu-lab/stanford_alpaca: Aims to build and share an instruction-following LLaMA model.
- alpaca-lora https://github.com/tloen/alpaca-lora: Instruct-tuning LLaMA on consumer hardware
- Cabrita https://github.com/22-hours/cabrita: Finetuning InstructLLaMA with portuguese data
- Alpacoom https://huggingface.co/mrm8488/Alpacoom : This adapter was created with the PEFT library and allowed the base model BigScience/BLOOM 7B1 to be fine-tuned on the Stanford's Alpaca Dataset by using the method LoRA.
- llama.cpp https://github.com/ggerganov/llama.cpp : Port of Facebook's LLaMA model in C/C++
- TextSynth Server https://bellard.org/ts_server/ : A web server proposing a REST API to large language models. They can be used for example for text completion, question answering, classification, chat, translation, image generation,