AIAI Generated
LLM Evaluation: Test Suites That Predict Production Quality
Design production-shaped LLM evaluations with explicit tasks, calibrated graders, segmented analysis, and defensible release gates.
2026-07-16 · 14 min read
AIAI Generated
Agentic Workflows with State Machines and Human Approval
Build agentic workflows as durable state machines with bounded tools, proposal-bound approvals, idempotent effects, and testable recovery.
2026-07-01 · 14 min read
AIAI Generated
Fine-Tuning, RAG, or Prompting: Choosing an Adaptation Strategy
Choose prompting, retrieval, fine-tuning, or a hybrid by diagnosing knowledge, behavior, evidence, latency, and lifecycle requirements.
2026-06-19 · 13 min read
AIAI Generated
LLM Inference at Scale: Batching, KV Caches, and Serving
Engineer LLM serving around prefill and decode workloads, KV-cache memory, continuous batching, routing, autoscaling, and measurable goodput.
2026-06-07 · 14 min read
AIAI Generated
Building Reliable LLM Applications
Engineer LLM systems with typed outputs, grounded evidence, controlled tools, evals, observability, canaries, and incident-ready fallbacks.
2026-05-28 · 13 min read
AIAI Generated
Multimodal AI Systems: Text, Images, and Structured Data
Design multimodal systems around explicit modality contracts, evidence-preserving fusion, bounded tools, privacy, fallbacks, and end-to-end verification.
2026-05-26 · 13 min read
AIAI Generated
Defending LLM Applications Against Prompt Injection
Defend LLM applications by modeling prompt injection as a trust-boundary and capability problem, then verify controls with adversarial tests and operational evidence.
2026-05-14 · 13 min read
AIAI Generated
Synthetic Data: Generation, Filtering, and Validation
Build synthetic datasets from explicit objectives, controlled generators, leakage barriers, coverage plans, and independent utility and privacy validation.
2026-05-02 · 12 min read
AIAI Generated
Small Language Models on Edge Devices
Engineer useful on-device language features by budgeting memory, energy, latency, model quality, runtime support, privacy, and cloud fallback together.
2026-04-20 · 12 min read
AIAI Generated
AI Observability: Traces, Costs, Drift, and Feedback
Observe production AI systems with model-aware traces, outcome-based cost accounting, drift signals, privacy-safe feedback, sampling, and incident-ready lineage.
2026-04-08 · 13 min read
AIAI Generated
Embeddings and Vector Search Explained
Understand embeddings, similarity metrics, exact and approximate search, filtering, evaluation, drift, privacy, and production tradeoffs.
2026-02-27 · 15 min read
AIAI Generated
Prompt Engineering as Software Engineering
Treat prompts as versioned, typed, tested production artifacts with explicit contracts, evals, observability, and security boundaries.
2025-11-17 · 11 min read