Feb. 23, 2024, 11:01 p.m. | Wolfram

Wolfram www.youtube.com

This talk will cover the use of LLMs and AI in enhancing Wolfram's built-in food data. We will show examples of how to use Chat Notebooks and the Wolfram ChatGPT plugin to retrieve nutrition data and analyze it. We will demonstrate how LLMs can transform recipe text into structured datasets in Wolfram Language from which we can generate graphs. We will also demonstrate new Wolfram Function Repository functions for food that can be easily used by chatbots to complete tasks …

analyze chat chatgpt data datasets examples food language llms notebooks nutrition plugin recipe show talk text through will wolfram

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne