Explore a comprehensive technical video presentation analyzing Meta and Universitat Pompeu Fabra's research paper "Toolformer: Language Models Can Teach Themselves to Use Tools." Learn how language models can be trained to autonomously utilize external tools through API calls, including calculators and calendars. Dive deep into the Toolformer architecture, methodology for creating training data, and implementation of API call generation and filtering. Watch practical demonstrations using Together AI, examine real-world examples from the arxiv paper, and understand the experimental results and scaling laws. Master the technical aspects of API call execution, mathematical filtering processes, and the innovative approach to enhancing language model capabilities through self-taught tool usage.
Teaching Language Models to Use Tools - Deep Dive into Toolformer
Overview
Syllabus
Intro to the Toolformer
Toolformer Architecture
Approach
Creating the Training Data
Generate API Call Data
Together AI Demo
Axiv Paper Examples
Execute API Calls
Filtering API Calls and Math
Experiments
Results
Scaling Laws
Questions
Taught by
Oxen
