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Like a Ragged Prayer

Artificial intelligence

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Like a Ragged Prayer

Like a Ragged Prayer

Some interesting stuff from Alexandra Alter on how AI is disrupting the romance novel industry.

Typing Code and Punching Cards

Typing Code and Punching Cards

If typing code for money goes the way of punch cards, how do we ensure that code is correct?

The Jevons Paradox and the Kindle Web Proxy

The Jevons Paradox and the Kindle Web Proxy

When solving problems becomes almost free, more problems get solved. I built a silly little app last night that nobody else would ever build, and that's sort of the point.


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LLM Evals Course: Complete Course Recap

LLM Evals Course: Complete Course Recap

This is my recap of Hamel and Shreya's LLM evaluation course. I'm hoping I come back here in the future every time I need to remind myself of how to do this the right way.

LLM Evals Lesson 8: Improving LLM Products

LLM Evals Lesson 8: Improving LLM Products

Notes from the final lesson of Hamel and Shreya's LLM evaluation course - practical strategies for improving accuracy and reducing costs through prompt refinement, architecture changes, fine-tuning, and model cascades.

LLM Evals Course Lesson 7: Interfaces for Human Review

LLM Evals Course Lesson 7: Interfaces for Human Review

Notes from lesson 7 of Hamel and Shreya's LLM evaluation course - interface design principles and strategic sampling.

Building an AI Sandbox with Docker

Building an AI Sandbox with Docker

How to set up a persistent Docker environment for AI coding tools without losing your authentication every time you restart the container.

LLM Evals Course Lesson 6: Complex Pipelines and CI/CD

LLM Evals Course Lesson 6: Complex Pipelines and CI/CD

Notes from lesson 6 of Hamel and Shreya's LLM evaluation course - debugging agentic systems, handling complex data modalities, and implementing CI/CD for production LLM applications.

LLM Evals Course Lesson 5: How to Evaluate Complex Architectures

LLM Evals Course Lesson 5: How to Evaluate Complex Architectures

Notes from lesson 5 of Hamel and Shreya's LLM evaluation course - evaluating retrieval quality, generation quality, and common pitfalls in RAG systems.