For LLMs, IBM’s NorthPole chip overcomes the tradeoff between speed and efficiency
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47 results for Foundation Models
Introducing Prithvi WxC, a new general-purpose AI model for weather and climate
NewsKim MartineauSimplify your Code LLM solutions using CodeLLM DevKit
Technical noteRangeet Pan, Rahul Krishna, Saurabh Sinha, Raju Pavuluri, and Maja Vukovic- Topic
A toxic language filter built for speed
NewsKim MartineauIBM Granite led open-source LLMs on API calling
NewsKim MartineauLarge language models revolutionized AI. LLM agents are what’s next
ExplainerKim MartineauRevolutionizing 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 MartineauTiny benchmarks for large language models
NewsKim MartineauThe future of AI is open
NewsMike Murphy and Peter HessEnvironmental analysis made easier with IBM’s Geospatial Studio
NewsKim MartineauCan AI help to promote endangered Indigenous languages?
NewsKim MartineauMitigating the environmental harm of PFAS ‘forever chemicals’
NewsKim Martineau
