Jane Huang – Medium

Jane Huang

Jane Huang
in
Data Science at Microsoft

Evaluating LLM systems: Metrics, challenges, and best practices

A detailed consideration of approaches to evaluation and selection

Mar 5

Evaluating LLM systems: Metrics, challenges, and best practices

Mar 5

Jane Huang
in
Data Science at Microsoft

Harnessing the power of Large Language Models: A comparative overview of LangChain, Semantic…

Some strategies for developing applications empowered by LLMs

Feb 20

Harnessing the power of Large Language Models: A comparative overview of LangChain, Semantic…

Feb 20

Jane Huang
in
Data Science at Microsoft

Causal inference (Part 3 of 3): Model validation and applications

By Jane Huang, Daniel Yehdego, Deepsha Menghani, Saurabh Kumar, and Siddharth Kumar

Nov 18, 2020

Causal inference (Part 3 of 3): Model validation and applications

Nov 18, 2020

Jane Huang
in
Data Science at Microsoft

Causal inference (Part 2 of 3): Selecting algorithms

By Jane Huang, Daniel Yehdego, and Siddharth Kumar

Nov 5, 2020

Causal inference (Part 2 of 3): Selecting algorithms

Nov 5, 2020

Jane Huang
in
Data Science at Microsoft

Causal inference (Part 1 of 3): Understanding the fundamentals

By Jane Huang, Daniel Yehdego, Deepsha Menghani, Siddharth Kumar, Lisa Cohen, and Ryan Bouchard

Oct 22, 2020

Causal inference (Part 1 of 3): Understanding the fundamentals

Oct 22, 2020

Jane Huang

Jane Huang

Jane Huang is a principal ML scientist at Microsoft CX Data and AI team. She focuses on GAI/LLM applications, machine learning, and causal inference.

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