Open-source pre-training implementation of Google's LaMDA research paper in PyTorch. The totally not sentient AI. This repository will cover the 2B parameter implementation of the pre-training architecture as that is likely what most can afford to train. You can review Google's latest blog post from 2022 which details LaMDA here. You can also view their previous blog post from 2021 on the model.

Features

  • Open-source pre-training implementation of Google's LaMDA research paper in PyTorch
  • T5 Relative Positional Bias in Attention
  • Gated GELU Activation in the Feed forward layer
  • GPT-like Decoder Only architecture
  • Autoregressive with Top-k sampling
  • Sentencepiece Byte-pair encoded tokenizer

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow LaMDA-pytorch

LaMDA-pytorch Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of LaMDA-pytorch!

Additional Project Details

Programming Language

Python

Related Categories

Python Artificial Intelligence Software, Python Large Language Models (LLM), Python Generative AI, Python AI Models

Registered

2023-03-24