In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

This repository contains advanced LLM-based chatbots for Q&A using LLM agents, and Retrieval Augmented Generation (RAG) and with different databases. (VectorDB, GraphDB, SQLite, CSV, XLSX, etc.)

Code for the manim-generated scenes used in Welch Labs videos.

Development repo for Think Python 3rd edition

A Practical Course on Embeddings, RAG, Multimodal Models, and Agents with Amazon Nova.

An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and analytical questions.

A book about machine learning, statistics, and data mining for heliophysics

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable …

2024 PyHC Summer School Materials

How to build a simplified Corrective RAG assistant with Amazon Bedrock using LLMs, Embeddings model, Knowledge Bases for Amazon Bedrock, and Agents for Amazon Bedrock.

Tutorials demonstrating how heliophysics researchers can leverage a HelioCloud instance to best effect.

Intermediate Machine Learning in Python for Environmental Science Problems

demo of HelioCloud for SDO using file registry, dask, notebooks

Training materials on AI/ML in Heliophysics

Repo from AWS GenAI workshop—build cost-efficient agentic LLM systems using SageMaker, Bedrock, and Strands.

Scripts and notebooks developed for the executable paper detecting magnetopause crossings in MMS data. The model data is hosted on HelioCloud.

SunPy tutorial for the 2024 HDRL Virtual User Workshop