Medical o1, Towards medical complex reasoning with LLMs

Where GPUs get cooked 👩‍🍳🔥

Oh my tmux! My self-contained, pretty & versatile tmux configuration made with 💛🩷💙🖤❤️🤍

Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation

Curated list of datasets and tools for post-training.

An Engine-Agnostic Deep Learning Framework in Java

Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.

Demo applications showcasing DJL

AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.

A library for training and deploying machine learning models on Amazon SageMaker

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Fine-tune FLUX 1.dev for personal AI photos

A PyTorch native library for large model training

A universal scalable machine learning model deployment solution

Official inference repo for FLUX.1 models

Amazon SageMaker AI collection of examples, code samples and recipes.

Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playground using SageMaker Studio.

PyTorch native post-training library

Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends

LLM101n: Let's build a Storyteller

A framework for few-shot evaluation of language models.

llama3 implementation one matrix multiplication at a time

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…

Code examples and resources for DBRX, a large language model developed by Databricks

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

This is a short example showing how to utilize Amazon SageMaker's real time endpoints with OpenAI's open source Whisper model for audio transcription.

Robust Speech Recognition via Large-Scale Weak Supervision

Lab Instructions for Data Engineering Immersion Day

Code and content for "Tidy Modeling with R"