18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Practice your pandas skills!

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Overview and tutorial of the LangChain Library

MTEB: Massive Text Embedding Benchmark

Machine Learning University: Accelerated Computer Vision Class

Anthropic's Interactive Prompt Engineering Tutorial

Generative AI on AWS

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

Race-line calculation of a DeepRacer track

In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.

Use the two different methods (deepspeed and SageMaker model parallelism library) to fine tune llama model on Sagemaker. Then deploy the fine tuned llama on Sagemaker with server side batch.

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