Feb. 6, 2024, 2:08 a.m. | Synced

Synced syncedreview.com

In a new paper PokéLLMon: A Human-Parity Agent for Pokémon Battles with Large Language Models, a Georgia Institute of Technology research team introduces PokéLLMon, a pioneering LLM-embodied agent demonstrating human-competent performance in tactical battle games.


The post PokéLLMon Triumph: Georgia Tech Unleashes the First LLM Agent Mastering Human-Level Skills in Pokemon Battles first appeared on Synced.

agent ai artificial intelligence deep-neural-networks embodied games generative-ai georgia georgia tech human institute language language models large language large language model large language models llm machine learning machine learning & data science ml paper performance pokemon research research team skills team tech technology

More from syncedreview.com / Synced

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

Lead Data Modeler

@ Sherwin-Williams | Cleveland, OH, United States