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Notes from the workshop
Practical writing on AI, LLMs, engineering, and running software in production — no hype, no filler.
AILLMFine-Tuning
Fine-Tuning vs Prompt Engineering: A Decision Guide With Real Trade-offs
A practical guide to choosing between fine-tuning and prompt engineering for an LLM feature — what each actually changes, when to use which, and the costs nobody mentions.
July 13, 2026 7 min read
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What an AI Agent Actually Is — and When You Don't Need One
A clear guide to what an AI agent actually is, how it differs from a plain LLM call or a fixed workflow, and when a simpler approach is the better choice.
July 6, 2026 7 min read
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RAG Explained: How 'Chat With Your Documents' Actually Works
A practical, no-hype guide to Retrieval-Augmented Generation — what it is, when it beats fine-tuning, and the parts that actually determine quality.
July 4, 2026 4 min read
Read article AISpeech-to-TextInfrastructure
Choosing a Speech-to-Text Model in 2026: Whisper, Deepgram, and When to Self-Host
A practical guide to picking a speech-to-text model — the trade-offs between open models like Whisper and hosted APIs like Deepgram, and when self-hosting pays off.
July 4, 2026 7 min read
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