Published inData Science at MicrosoftEvaluating LLM systems: Metrics, challenges, and best practicesA detailed consideration of approaches to evaluation and selectionMar 5, 2024A response icon24Mar 5, 2024A response icon24
Published inData Science at MicrosoftHarnessing the power of Large Language Models: A comparative overview of LangChain, Semantic…Some strategies for developing applications empowered by LLMsFeb 20, 2024A response icon2Feb 20, 2024A response icon2
Published inData Science at MicrosoftCausal inference (Part 3 of 3): Model validation and applicationsBy Jane Huang, Daniel Yehdego, Deepsha Menghani, Saurabh Kumar, and Siddharth KumarNov 18, 2020A response icon5Nov 18, 2020A response icon5
Published inData Science at MicrosoftCausal inference (Part 2 of 3): Selecting algorithmsBy Jane Huang, Daniel Yehdego, and Siddharth KumarNov 5, 2020A response icon4Nov 5, 2020A response icon4
Published inData Science at MicrosoftCausal inference (Part 1 of 3): Understanding the fundamentalsBy Jane Huang, Daniel Yehdego, Deepsha Menghani, Siddharth Kumar, Lisa Cohen, and Ryan BouchardOct 22, 2020A response icon7Oct 22, 2020A response icon7