Chip Huyen

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Chip Huyen research 17mo ago

Common pitfalls when building generative AI applications

As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case studies and from my personal experience. Because these…

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Chip Huyen research 17mo ago

Agents

Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines the field of AI research as “ the study and design of rational agents. ” The…

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Chip Huyen research 23mo ago

Building A Generative AI Platform

After studying how companies deploy generative AI applications, I noticed many similarities in their platforms. This post outlines the common components of a generative AI platform, what they do, and how they are implemented. I try my best to keep the architecture general, but…

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Chip Huyen research 26mo ago

Measuring personal growth

My founder friends constantly think about growth. They think about how to measure their business growth and how to get to the next order of magnitude scale. If they’re making $1M ARR today, they think about how to get to $10M ARR. If they have 1,000 users today, they think about…

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Chip Huyen research 27mo ago

What I learned from looking at 900 most popular open source AI tools

[ Hacker News discussion , LinkedIn discussion , Twitter thread ] Update (Feb 2026) : The full list of open source AI repos is hosted at Good AI List , updated daily. It’s balooned to 15K repos, and you can submit missing repos. You can also find some of them on my…

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Chip Huyen research 28mo ago

Predictive Human Preference: From Model Ranking to Model Routing

A challenge of building AI applications is choosing which model to use. What if we don’t have to? What if we can predict the best model for any prompt? Predictive human preference aims to predict which model users might prefer for a specific query. Human preference has emerged…

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Chip Huyen research 29mo ago

Generation configurations: temperature, top-k, top-p, and test time compute

ML models are probabilistic. Imagine that you want to know what’s the best cuisine in the world. If you ask someone this question twice, a minute apart, their answers both times should be the same. If you ask a model the same question twice, its answer can change. If the model…

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Chip Huyen research 33mo ago

Multimodality and Large Multimodal Models (LMMs)

For a long time, each ML model operated in one data mode – text (translation, language modeling), image (object detection, image classification), or audio (speech recognition). However, natural intelligence is not limited to just a single modality. Humans can read, talk, and…

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Chip Huyen research 34mo ago

Open challenges in LLM research

[ LinkedIn discussion , Twitter thread ] Never before in my life had I seen so many smart people working on the same goal: making LLMs better. After talking to many people working in both industry and academia, I noticed the 10 major research directions that emerged. The first…

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Chip Huyen research 37mo ago

Generative AI Strategy

I had a lot of fun preparing the talk: “Leadership needs us to do generative AI. What do we do?” for Fully Connected . The idea for the talk came from many conversations I’ve had recently with friends who need to figure out their generative AI strategy, but aren’t sure what…

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