🦜🔗 Build context-aware reasoning applications

Google Research

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Examples and guides for using the Gemini API

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

CoreNet: A library for training deep neural networks

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

Probabilistic reasoning and statistical analysis in TensorFlow

[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …

Fast and Easy Infinite Neural Networks in Python

Documentation for Google's Gen AI site - including the Gemini API and Gemma

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜

🦘 Explore multimedia datasets at scale

Dramatron uses large language models to generate coherent scripts and screenplays.

A collection of guides and examples for the Gemma open models from Google.

A set of LLM Tutorials from my youtube channel

Generative Representational Instruction Tuning

Codes to complement YouTube videos and blog posts on Medium.

An example of multi-agent orchestration with llama-index

Code from presentations

PDFM Embeddings: location-based vectors for geo-spatial analysis.