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Workshops
AI to Support Scientific Discovery
Workshop Preparation (15 minutes before start)
Participatory Design Workshop Outline
Session 1: Welcome & Framing
Session 2: Individual Idea Generation
Session 3: Small Group Idea Clustering
Session 4: Collaborative Use Case Development
Session 5: Group Feedback
Session 6: Synthesis & Next Steps
AI in Science Postdoc Workshop
Module 1: Introduction to LLMs and Problem Setup
Python Environment Setup
LLMs: Prompt Engineering, and OLMo
LangChain: The LLM Application Framework
Domain-Specific Question and Answer
Algorithms Prompting with OLMo
Break Time 1
Module 2: Building LLM-powered Domain Specific Question and Answer Chat Bot
Retrieval-Augmented Text Generation
Algorithms Chat Application
Demos
OLMO RAG DEMO
Archive
Scipy 2024
Module 1: Introduction to LLMs and Problem Setup
Python Environment Setup
Introduction to Language Models
LLMs, Prompt Engineering, and OLMo
LangChain: The LLM Application Framework
Break Time 1
Module 2: Building LLM-powered Domain Specific Question and Answer System
Domain-Specific Question and Answer
Astrophysics Prompting with OLMo
Retrieval-Augmented Text Generation
Break Time 2
Module 3: Creating the Application
Astrophysics Chat Application
Try with your Data
Appendix
Astrophysics Dataset Creation
Documents Loader
Qdrant Vector Database Creation
Repository
Suggest edit
Open issue
.md
.pdf
Module 3: Creating the Application
Module 3: Creating the Application
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Astrophysics Chat Application
Try with your Data
