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

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US