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Jan 16, 2025 | 
huyenchip.com | Chip Huyen
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 pitfalls are common, if you’ve worked on any AI product, you’ve probably seen them before. 1.
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Jan 6, 2025 | 
huyenchip.com | Chip Huyen
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 unprecedented capabilities of foundation models have opened the door to agentic applications that were previously unimaginable.
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Aug 5, 2024 | 
turingpost.com | Chip Huyen |Ksenia Se
Your browser does not support the audio element. Next Week in Turing Post:Thursday, a guest post: Your infrastructure shouldn‚Äôt live in a black box Friday, AI Infra Unicorns: A Deep Dive into Graphcore The main topic: AI Fall ūüćāThis Monday saw significant market drops across stocks, cryptocurrencies, and oil due to growing concerns over a rapidly slowing U.S. economy. Criticisms of the Fed‚Äôs pace on rate adjustments are intensifying, fueling fears of a potential recession.
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Jul 25, 2024 | 
huyenchip.com | Chip Huyen
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 certain applications might deviate. This is what the overall architecture looks like. This is a pretty complex system. This post will start from the simplest architecture and progressively add more components.
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May 22, 2024 | 
flipboard.com | Chip Huyen
2 hours agoCoffeezilla, the popular YouTuber and investigator who regularly deep dives into influencer scams, has called out the startup behind the Rabbit R1 as he says it was “built on a scam.” Stephen Findeisen, who goes by the username Coffeezilla, has over 3.47 million subscribers, and almost 1.5 million …
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Apr 19, 2024 | 
huyenchip.com | Chip Huyen
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 how to get to 10,000 users. This made me wonder if/how people are measuring personal growth. I don’t want to use metrics like net worth or the number of followers, because that’s not what I live for.
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Mar 14, 2024 | 
huyenchip.com | Chip Huyen
[Hacker News discussion, LinkedIn discussion, Twitter thread]Four years ago, I did an analysis of the open source ML ecosystem. Since then, the landscape has changed, so I revisited the topic. This time, I focused exclusively on the stack around foundation models. The full list of open source AI repos is hosted at llama-police. The list is updated every 6 hours. You can also find most of them on my cool-llm-repos list on GitHub. Table of contentsData…. How to add missing reposThe New AI Stack….
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Jan 18, 2024 | 
huyenchip.com | Chip Huyen
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 thinks that Vietnamese cuisine has a 70% chance of being the best cuisine and Italian cuisine has a 30% chance, it’ll answer “Vietnamese” 70% of the time, and “Italian” 30%.
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Dec 28, 2023 | 
analyticsindiamag.com | David Foster |Karl Friston |Chip Huyen |Lewis Tunstall
Generative AI has gained significant attention in 2023. As everyone is busy experimenting with it and building innovative applications and tools for the betterment of humanity, it becomes increasingly more important to understand the basics and technical nuances, and not just fall prey for the hype. Here AIM has listed the top seven must read generative AI books of 2023 for machine learning engineers and data scientists, enhancing your understanding and skills in the field of Generative AI.
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Oct 10, 2023 | 
huyenchip.com | Chip Huyen
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 and write text. We can see images and watch videos. We listen to music to relax and watch out for strange noises to detect danger. Being able to work with multimodal data is essential for us or any AI to operate in the real world.
