Studying for a tech interview sucks. Here's an open source cheat sheet to help

This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) avai…

OpenRecall is a fully open-source, privacy-first alternative to proprietary solutions like Microsoft's Windows Recall. With OpenRecall, you can easily access your digital history, enhancing your me…

Video+code lecture on building nanoGPT from scratch

A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Med…

Generates a quiz from a URL. You can play the quiz, or let the LLM play it.

Guide on text completion large language model fine-tuning, including example scripts and training data acquiring.

SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.

OpenEQA Embodied Question Answering in the Era of Foundation Models

Distribute and run LLMs with a single file.

Code and documentation for Humans in the Loop (HITL), an LC Labs sponsored collaboration with metadata solutions provider AVP. The experiment explores a framework and considerations for integrating…

Multi-language AST-based code search and rewriting tool that supports embedding Lua code in patterns

Turn expensive prompts into cheap fine-tuned models

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). It provides a simple yet robust interface using llama-cpp-python, allowing users to chat wit…

Median is an open-source flashcard application that leverages the power of spaced repetition and artificial intelligence to transform the learning process.

the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly

Amazon Bedrock Agent with Amazon DataZone

Toolkit for attaching, training, saving and loading of new heads for transformer models

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Amazon Web Services

A TensorFlow based wake word detection training framework using synthetic sample generation suitable for certain microcontrollers.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Simple fast version of ESP32-CAM-Video-Recorder

LLM-powered document chat using Amazon Bedrock and AWS Serverless

Chat with your documents using local AI

Self-hosted version of OpenAI’s new stateful Assistants API

A simple interface for using Ollama with LangChain's RAGChain