June 29, 2024, 5:15 a.m. | Tanya Malhotra

MarkTechPost www.marktechpost.com

In the rapidly advancing field of Artificial Intelligence (AI), it is crucial to assess the outputs of models accurately. State-of-the-art AI systems, such as those built on the GPT-4 architecture, are trained via Reinforcement Learning with Human Feedback (RLHF). Because it is typically quicker and simpler for humans to evaluate AI-generated outputs than it is […]


The post OpenAI Introduces CriticGPT: A New Artificial Intelligence AI Model based on GPT-4 to Catch Errors in ChatGPT’s Code Output appeared first on …

ai model ai shorts ai systems applications architecture art artificial artificial intelligence chatgpt code criticgpt editors pick errors feedback gpt gpt-4 human human feedback intelligence language model large language model machine learning openai output reinforcement reinforcement learning rlhf staff state systems technology via

More from www.marktechpost.com / MarkTechPost

Sr. Data Analyst (Revenue Assurance)

@ Rogers Communications | Toronto, ON, CA

Senior Data Scientist

@ Similarweb | Tel Aviv

Technical Growth / Engineering Manager. 1-2 years experience

@ Growth Kitchen | London, England, United Kingdom

Consumer Marketing Retention Officer/ Sr. Officer

@ Umniah | Amman, Amman Governorate, Jordan

SFE and BI Business Partner

@ Merck Group | Bonifacio Global City, Metro Manila, PH, 1630

Software Engineer - Machine Learning Pipelines

@ RWE | Bellevue, WA, US, WA 98004