Oct. 9, 2023, 1 p.m. | Ben Dickson

TechTalks bdtechtalks.com

A study by Google's DeepMind and the University of Illinois at Urbana-Champaign has found that self-correction in large language models (LLMs) isn't universally effective.


The post LLMs can’t self-correct in reasoning tasks, DeepMind study finds first appeared on TechTalks.

ai research papers artificial intelligence (ai) blog deepmind found google illinois language language models large language large language models llms reasoning study tasks techtalks university

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