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How does a text watermark work?
A first-principles investigation of how generation-time text watermarks work, from a weighted coin to Gemma, and where the evidence stops.
•50 min read
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I build machine learning systems, from model training and evaluation to applications people use. I write about what I build, break, and learn along the way.
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Can Dense Retrieval Beat BM25 for Entity Resolution? (And At What Cost?)
Testing if applying Matryoshka Representation Learning (MRL) to tabular entity data could bridge the cost gap, compressing embeddings enough to remain operational while still beating BM25 on corrupted queries.
•14 min read
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File-Based Memory Is a Terrible Idea That Somehow Works
A production diary of tiered episodic memory in AI agents. Three markdown files, an SQLite database, and a lobster that somehow remembers what you said three days ago.
•15 min read
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Stop Renting Your Workflow: Building a Custom AI Coding Agent with Pi
Four tools, a settings file, and full control - how I built my own AI coding agent with Pi instead of paying $200/month for a CLI that keeps changing.
•11 min read
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Concept to Code - Deploying ColBERT with RAGatouille on Modal Labs in Minutes
Practical way of using colbert with ragatouille on modal labs
•18 min read
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Beyond the Hype- Practical Strategies for Implementing Superior RAG
Practical strategies for implementing and optimizing Retrieval Augmented Generation (RAG) in LLM systems.
•24 min read
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Hackathons - A Condensed Time for Learning, Building, and Networking
Hackathon Experience at Mistral Hackathon in San Francisco
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