Jan. 22, 2024, 10 a.m. | Jim Webber

InfoWorld Machine Learning www.infoworld.com



As the momentous first year of ChatGPT comes to a close, it’s clear that generative AI (genAI) and large language models (LLMs) are exciting technologies. But are they ready for prime-time enterprise use?

There are well-understood challenges with ChatGPT, where its responses have poor accuracy. Despite being based on sophisticated computer models of human knowledge like GPT-4, ChatGPT rarely wants to admit ignorance, a phenomenon referred to as AI hallucinations, and it often struggles with logical reasoning. …

accuracy artificial intelligence challenges chatgpt clear computer enterprise genai generative generative-ai language language models large language large language models llms prime responses software development technologies

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

Principal Applied Scientist

@ Microsoft | Redmond, Washington, United States

Data Analyst / Action Officer

@ OASYS, INC. | OASYS, INC., Pratt Avenue Northwest, Huntsville, AL, United States