Charting a path to a more sustainable AI future
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Detecting health and science misinformation with AI
ResearchPeter HessIBM Granite led 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 MurphyRevolutionizing geospatial data management
Technical noteRomeo Kienzler and Thomas BrunschwilerIBM’s text-to-SQL generator takes top place on a benchmark for handling complex database queries
NewsKim MartineauServing AI models faster with speculative decoding
NewsKim MartineauThe technology behind InstructLab, a low-cost way to customize LLMs
NewsKim MartineauAt Think, IBM showed how generative AI is set to take automation to another level
Deep DiveMike MurphyTiny benchmarks for large language models
NewsKim MartineauThe future of AI is open
NewsMike Murphy and Peter HessIBM’s Granite model is one of the most transparent LLMs in the world
NewsMike MurphyEnvironmental analysis made easier with IBM’s Geospatial Studio
NewsKim Martineau
