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Workshop
3 Parts • 14 Activities• 0/14 Completed

AI for Research(ers): Principles, Context, and Tools

A hands-on workshop designed to move researchers from basic principles to practical application of Large Language Models. This session covers the cognitive baseline of LLMs, the nuances of context management, and the creation of custom research tools.

Learning Outcomes

  • Understand the semantic capabilities and limitations of LLMs compared to human cognition.
  • Master context engineering to improve model accuracy and reduce hallucinations.
  • Learn to build simple custom AI tools to automate research workflows.
1

Cognitive Baseline

1

Testing the Semantic Baseline

exploration
10 min
2

Comparing Model Knowledge

exploration
15 min
3

Exploring Small/Local Models

exploration
10 min
4

Testing Reasoning Capabilities

exploration
15 min
5

Tool Use: Counting & Math

application
10 min
6

Data Analysis with Code Execution

application
15 min
7

Multimodal Conversation

exploration
10 min
8

Exploring Model Performance with MPI Explorer

exploration
10 min
9

Long Context Window

exploration
15 min
10

Search Grounding

application
10 min
2

Context

1

Visualizing Context

exploration
15 min
2

Literature Search Comparison

integration
20 min
3

Specialized Research Tools

application
15 min
3

Tools

1

Building a Simple App

application
20 min
Start with First Activity