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LangChain AI Handbook
By James Briggs and Francisco Ingham The LangChain library empowers developers to create intelligent applications using large language models. It’s revolutionizing industries and technology, transforming our every interaction with technology. https://www.pinecone.io/learn/langchain/
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privateGPT
Ask questions to your documents without an internet connection, using the power of LLMs. 100% private, no data leaves your execution environment at any point. You can ingest documents and ask questions without an internet connection! https://github.com/imartinez/privateGPT
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llElevenLabs
Prime Voice AI The most realistic and versatile AI speech software, ever. Eleven brings the most compelling, rich and lifelike voices to creators and publishers seeking the ultimate tools for storytelling. https://beta.elevenlabs.io/
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Pinecone
Long-term Memory for AI The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. https://www.pinecone.io/
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BabyAGI
This Python script is an example of an AI-powered task management system. The system uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks. The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective. The script then uses OpenAI’s natural language processing […]
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Practical Deep Learning
Part 1: A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems. Part 2: In this course, containing over 30 hours of video content, we implement the astounding Stable Diffusion algorithm from scratch! That’s the killer app that made the internet freak out, and caused […]
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Dolly
Databricks’ Dolly is an instruction-following large language model trained on the Databricks machine learning platform that is licensed for commercial use. Based on pythia-12b, Dolly is trained on ~15k instruction/response fine tuning records databricks-dolly-15k generated by Databricks employees in capability domains from the InstructGPT paper, including brainstorming, classification, closed QA, generation, information extraction, open QA and summarization. dolly-v2-12b is not a state-of-the-art […]
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cleanlab
cleanlab helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models. https://github.com/cleanlab/cleanlab
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Kor
This is a half-baked prototype that “helps” you extract structured data from text using LLMs 🧩. Specify the schema of what should be extracted and provide some examples. Kor will generate a prompt, send it to the specified LLM and parse out the output. https://github.com/eyurtsev/kor
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Stanford Alpaca: An Instruction-following LLaMA Model
This is the repo for the Stanford Alpaca project, which aims to build and share an instruction-following LLaMA model. The repo contains: https://github.com/tatsu-lab/stanford_alpaca#fine-tuning