TEDWARD.NET · A WEEKLY DEV BLOG BY TED WARD
Dispatches from the sharp end of AI & software.
SHOWING 6 / 57 DISPATCHES — TOPIC: AI Engineering Playbook
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AI Engineering Playbook Part 8: A Guide to AI Security
Part 8 of The AI Engineering Playbook, we secure the system. A practical guide to defending against prompt injection, protecting user data, building guardrails, and making your AI cite its sources to build trustworthy applications.
AI Engineering Playbook Part 7: A Guide to LLM Evaluation & Observability
In Part 7 of The AI Engineering Playbook, we tackle the "day two" problem. A developer's guide to the practical strategies for testing, evaluating, and debugging your AI applications to ensure they are reliable and trustworthy in production.
AI Engineering Playbook Part 6: Making It Fast & Cheap - AI Performance Optimisation
In Part 6 of The AI Engineering Playbook, we get practical. A developer's guide to the essential optimisation techniques that make AI applications viable in the real world: semantic caching, response streaming, and model optimisations like quantisation.
AI Engineering Playbook Part 5: When RAG Isn't Enough - A Guide to Fine Tuning
In Part 5 of The AI Engineering Playbook, we explore the limits of RAG and dive into the world of fine tuning. A guide to understanding when and why you need to change the model's brain, not just give it an open book.
