A framework for few-shot evaluation of language models.

Collection of bet practices, reference architectures, examples, and utilities for foundation model development and deployment on AWS.

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

Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Hands-on workshop for distributed training and hosting on SageMaker

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

llm-experimentation-sagemaker-mlflow

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Java on AWS Worskhop and Immersion Day content. Run Java efficiently in the AWS cloud.

Lesson repository for Github Actions Deep Dive (1074)

Get started DVC project

Samples to build Generative AI applications with LangChain and Amazon Kendra

sagemaker-custom-project-templates

MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK

The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.

Course_AWS_Certified_Machine_Learning

Machine-Learning-on-AWS-Deep-Dive

Tools for building GPU clusters

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

This project demonstrate how to infer and track from a 360 videos by using the dewarper plugin.

Face Mask Detection using NVIDIA Transfer Learning Toolkit (TLT) and DeepStream for COVID-19

The source code used for the Amazon Sagemaker JumpStart demo during AWS Innovate AIML EMEA Conference Feb 24 2021