April 15, 2024, 11 p.m. | Mohammad Asjad

MarkTechPost www.marktechpost.com

LLMs are expanding beyond their traditional role in dialogue systems to perform tasks actively in real-world applications.  It is no longer science fiction to imagine that many interactions on the internet will be between LLM-powered systems. Currently, humans verify LLM-generated outputs for correctness before implementation due to the complexity of code comprehension. This interaction between […]


The post Researchers at UC Berkeley Introduce GOEX: A Runtime for LLMs with an Intuitive Undo and Damage Confinement Abstractions, Enabling the Safer Deployment …

abstractions agents ai paper summary ai shorts applications artificial intelligence berkeley beyond deployment dialogue editors pick enabling fiction imagine interactions internet language model large language model llm llms practice researchers role science staff systems tasks tech news technology uc berkeley will world

More from www.marktechpost.com / MarkTechPost

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

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Tableau/PowerBI Developer (A.Con)

@ KPMG India | Bengaluru, Karnataka, India

Software Engineer, Backend - Data Platform (Big Data Infra)

@ Benchling | San Francisco, CA