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ML Production
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...
ML Production
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:...
ML Production
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 componen...
ML Production
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...
ML Production
What I learned from looking at 900 most popular open source…
[Hacker News discussion, <a href="https://www.linkedin.com/posts/chiphuyen_generativeai-aiapplications-llmops-activity-71741534678448...
ML Production
Predictive Human Preference: From Model Ranking to Model Ro…
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...
ML Production
Generation configurations: temperature, top-k, top-p, and t…
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 apar...
ML Production
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 a...
ML Production
Open challenges in LLM research
[LinkedIn discussion, <a href="https://twitter.com/chipro/status/16918580848...
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 f...