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Amazon S3 Vectors for Retrieval at Scale
What Amazon S3 Vectors actually is, how it compares to dedicated vector databases, and a practical walkthrough of using it for retrieval pipelines.
Infrastructure
→ Engineering journal
Writing on production AI, retrieval, and the systems around it.
Field notes from building automation-heavy tools and AI products — what actually holds up in production, the trade-offs nobody mentions, and working code you can lift.
AI Engineering
Mar 14, 2025
How Call Centres Use Voice AI to Automate Conversations
How modern Voice AI systems replace legacy IVR menus — the STT/LLM/TTS stack, real-world deployments, and a practical guide to building a production call centre agent.
AI Engineering
Nov 12, 2024
What Are Temperature, Top-p, and Top-k in AI?
A clear breakdown of the three key sampling parameters in AI language models — what they control, how they interact, and when to reach for each.
Systems
Oct 8, 2024
Instructor vs. OpenAI Structured JSON in Production
A hands-on comparison of Instructor and OpenAI's native structured output for production AI systems — where each shines and where each breaks.
Infrastructure
Sep 3, 2024
A Practical Guide to Quantization
How quantization lets you run large language models on consumer hardware — the math behind it, and working code using BitsAndBytes 4-bit and 8-bit configs.
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