Discusses strategies for continual pretraining of LLMs and evaluating reward models for RLHF, based on recent research papers.
A summary of February 2024 AI research, covering new open-source LLMs like OLMo and Gemma, and a study on small, fine-tuned models for text summarization.
A summary of key AI research papers from February 2024, focusing on new open-source LLMs, small fine-tuned models, and efficient fine-tuning techniques.
Interview with AI researcher Curtis Northcutt on his journey from rural Kentucky to MIT, founding Cleanlab, and his work on confident learning and dataset improvement.
A guide on managing the flood of AI and machine learning research, covering tools and strategies for prioritizing papers and news.
Highlights ICML 2021 invited talks on applying machine learning to scientific domains like drug discovery, climate science, poverty alleviation, and neuroscience.
A review of 'Architects of Intelligence,' a book featuring interviews with 23 leading AI researchers and industry experts.
A review of 'Architects of Intelligence,' a book featuring interviews with 23 leading AI researchers and industry experts.
