Kelly Hong is a researcher at Chroma, where she explores open questions in retrieval. She studied computer science at UC Berkeley before deciding to take a break from school to go all in on working in this space. Her recent work includes projects like generative benchmarking, driven by the motivation to help developers systematically evaluate and improve their AI systems.

Hamel is a machine learning engineer with over 20 years of experience. He has worked with innovative companies such as Airbnb and GitHub, which included early LLM research used by OpenAI, for code understanding. He has also led and contributed to numerous popular open-source machine-learning tools. Hamel is currently an independent consultant helping companies build AI products.