gemma_pytorch

The official PyTorch implementation of Google's Gemma models.

https://github.com/google/gemma_pytorch

GPT Pilot – what we learned in 6 months of working on a CodeGen pair programmer

The article discusses the learnings from six months of working on a CodeGen pair programmer, GPT Pilot, aiming to have human developers understand the codebase and provide detailed explanations of added code to facilitate collaboration between human developers and AI in coding tasks

https://blog.pythagora.ai/2024/02/19/gpt-pilot-what-did-we-learn-in-6-months-of-working-on-a-codegen-pair-programmer/

Deploy Mistral Large to Azure and create a conversation with Python and LangChain

Step-by-step guide to deploying Mistral Large to Azure.

https://neon.tech/blog/deploy-mistral-large-to-azure-and-chat-with-langchain

hotpdf

hotpdf is a fast PDF parsing library to extract text and find text within PDF documents built on top of pdfminer.six

https://github.com/weareprestatech/hotpdf

allenai / OLMo

Modeling, training, eval, and inference code for OLMo

https://github.com/allenai/OLMo

Dependency Injection Explained in 7 Minutes

This video explains why dependency injection is a game-changer for your coding projects. Creating loosely coupled code is key to making the code more flexible and more maintainable. This is all possible through the implicit use of dependencies.

https://www.youtube.com/watch?v=DpMGEhwuuyA

ok-robot

An open, modular framework for zero-shot, language conditioned pick-and-drop tasks in arbitrary homes.

https://github.com/ok-robot/ok-robot

Graphinate. Data to Graphs.

Graphinate is a python library that aims to simplify the generation of Graph Data Structures from Data Sources.

https://github.com/erivlis/graphinate

NVIDIA / trt-llm-rag-windows

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

https://github.com/NVIDIA/trt-llm-rag-windows

Machine Learning in 2024 – Beginner's Course

This machine learning course is created for beginners who are learning in 2024. The course begins with a Machine Learning Roadmap for 2024, emphasizing career paths and beginner-friendly theory. Then it the course moves on to hands-on practical applications and a comprehensive end-to-end project using Python.

https://www.youtube.com/watch?v=bmmQA8A-yUA

Building an LLM fine-tuning Dataset

The video shares insights on building a comprehensive dataset for AI model training using Reddit comments, highlighting challenges such as working with large datasets and filtering out low-quality comments. The creator discusses methods like loading, sorting, and filtering data to create training samples and models, emphasizing the abundance of comments available for analysis and the pro...

https://www.youtube.com/watch?v=pCX_3p40Efc

flect

A pure Python full-stack web apps framework inspired by Next.js.

https://github.com/Chaoyingz/flect

Bonito

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

https://github.com/BatsResearch/bonito

Intro to DSPy: Goodbye Prompting, Hello Programming!

How the DSPy framework solves the fragility problem in LLM-based applications by replacing prompting with programming and compiling.

https://towardsdatascience.com/intro-to-dspy-goodbye-prompting-hello-programming-4ca1c6ce3eb9

Hatchet

A Distributed, Fault-Tolerant Task Queue.

https://github.com/hatchet-dev/hatchet

pfl

Python framework for Private Federated Learning simulations.

https://github.com/apple/pfl-research