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Example code for AWS Neuron SDK developers building inference and training applications
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
PyTorch extensions for high performance and large scale training.
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unita…
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
A framework for few-shot evaluation of language models.
Bias mitigation in foundation models
A high-throughput and memory-efficient inference and serving engine for LLMs
Set of tools to assess and improve LLM security.
Large Language Model Text Generation Inference
CodeSage: Code Representation Learning At Scale (ICLR 2024)
Universal LLM Deployment Engine with ML Compilation
FM-Leaderboard-er allows you to create leaderboard to find the best LLM/prompt for your own business use case based on your data, task, prompts
This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separate project with its own directory, and includes a basic Stre…
DSPy: The framework for programming—not prompting—language models
Integrate cutting-edge LLM technology quickly and easily into your apps