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10 posts Ā· my favourites
- Advice for New Principal Tech ICs (i.e., Notes to Myself)
Based on what I've learned from role models and mentors in Amazon
- Training an LLM-RecSys Hybrid for Steerable Recs with Semantic IDs
An LLM that can converse in English & item IDs, and make recommendations w/o retrieval or tools.
- Building AI Reading Club: Features & Behind the Scenes
Exploring how an AI-powered reading experience could look like.
- Seemingly Paradoxical Rules of Writing
With regard to writing, there are many rules and also no rules at all.
- AlignEval: Building an App to Make Evals Easy, Fun, and Automated
Look at and label your data, build and evaluate your LLM-evaluator, and optimize it against your labels.
- Writing Robust Tests for Data & Machine Learning Pipelines
Or why I should write fewer integration tests.
- The Metagame of Applying Machine Learning
How to go from knowing machine learning to applying it at work to drive impact.
- How to Write Better with The Why, What, How Framework
Three documents I write (one-pager, design doc, after-action review) and how I structure them.
- What I Did Not Learn About Writing In School
Surprising lessons I picked up from the best books, essays, and videos on writing non-fiction.
- The 85% Rule: When Giving It Your 100% Gets You Less than 85%
I thought giving it my all led to maximum outcomes; then I learnt about the 85% rule.