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Overview
Technical blog by Alex Jacobs covering AI/LLM engineering, Python, RAG architectures, vector databases, and full-stack development.
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Beating BERT? Small LLMs vs Fine-Tuned Encoders for Classification
I ran 32 experiments comparing small LLMs to BERT on classification tasks. Turns out 2018-era BERT is still really good at what it does.
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The Case Against pgvector
The real limitations of pgvector in production: index choice between IVFFlat and HNSW, why real-time search is hard, pre- vs post-filtering pain, how performance degrades at scale, and when a dedicated vector database is the better call.
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A Production Framework for LLM Feature Evaluation
An empirical analysis of LLM application patterns that successfully scale in production systems, focusing on extraction, generation, and classification use cases
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Integration Testing FastAPI: Mocking Auth, MongoDB, S3, and External APIs
A practical guide to FastAPI integration tests with pytest: mocking JWT authentication and the TestClient, patching external API calls, and faking MongoDB and S3 with mongomock and moto.
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Effective Error Handling
A simple an effective approach for handling end users who struggle with errors
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