How IBM Research built a lab for the future of computing
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Simplify your Code LLM solutions using CodeLLM DevKit
Technical noteRangeet Pan, Rahul Krishna, Saurabh Sinha, Raju Pavuluri, and Maja VukovicA toxic language filter built for speed
NewsKim Martineau- Focus Area
How IBM Research built a lab for the future of computing
Deep DiveMike MurphyImproving Hugging Face training efficiency through packing with flash attention
Technical noteRhui Dih Lee, Arthur Zucker, Achintya Kundu, Laura Wynter, Raghu Ganti, and Mayank MishraBreaking down the AI transformer
ExplainerKim MartineauIntroducing KVP10k: A comprehensive dataset for key-value pair extraction in business documents
Technical noteTal Drory, Udi Barzelay, and Oshri NaparstekTeaching AI models to improve themselves
ResearchPeter HessDetecting health and science misinformation with AI
ResearchPeter HessIBM Granite leads open-source LLMs on API calling
NewsKim MartineauIBM and RPI researchers demystify in-context learning in large language models
NewsPeter HessWhat’s an LLM context window and why is it getting larger?
NewsKim MartineauMeet AI-Hilbert, a new algorithm for transforming scientific discovery
NewsPeter HessLarge language models revolutionized AI. LLM agents are what’s next
ExplainerKim MartineauIBM reaffirms its commitment to the Rome Call for AI ethics
NewsMike Murphy
