llm-d 1.0 hardens open-source AI inference for day 2 production operations
Release
Peter Hess
Blog
8 results for AI Testing
ASTER: Natural and multi-language unit test generation with LLMs
Technical noteRangeet Pan, Rahul Krishna, Raju Pavuluri, and Saurabh SinhaTiny benchmarks for large language models
NewsKim Martineau- Topic
What is red teaming for generative AI?
ExplainerKim MartineauAn open-source toolkit for debugging AI models of all data types
Technical noteKevin Eykholt and Taesung LeeAI diffusion models can be tricked into generating manipulated images
NewsKim MartineauDOFramework: A testing framework for decision optimization model learners
Technical noteOrit DavidovichManaging the risk in AI: Spotting the “unknown unknowns”
ResearchOrna Raz, Sam Ackerman, and Marcel Zalmanovici5 minute readIBM researchers check AI bias with counterfactual text
ResearchInkit Padhi, Nishtha Madaan, Naveen Panwar, and Diptikalyan Saha5 minute read
