IBM’s new benchmark puts industrial agents to the test
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Kim Martineau
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65 results for Trustworthy AI
A 360 review of AI agent benchmarks
ResearchKim MartineauAn invisible watermark to keep tabs on tabular data
ResearchKim Martineau- Topic
AI is changing how we work — is it time to change how we credit AI’s involvement?
ResearchKim MartineauASTER: Natural and multi-language unit test generation with LLMs
Technical noteRangeet Pan, Rahul Krishna, Raju Pavuluri, and Saurabh SinhaIBM’s safety checkers top a new AI benchmark
NewsKim MartineauIBM’s Mikhail Yurochkin wants to make AI’s “cool” factor tangible
ResearchKim MartineauWhy we’re teaching LLMs to forget things
ExplainerKim MartineauA toxic language filter built for speed
NewsKim MartineauTeaching AI models to improve themselves
ResearchPeter HessIBM and RPI researchers demystify in-context learning in large language models
NewsPeter HessIBM reaffirms its commitment to the Rome Call for AI ethics
NewsMike MurphyTiny benchmarks for large language models
NewsKim MartineauIBM’s Granite model is one of the most transparent LLMs in the world
NewsMike MurphyWhat is red teaming for generative AI?
ExplainerKim Martineau
