A clear, practical guide to Mixture-of-Experts (MoE) architecture: routing, experts, training stability, distributed systems, and when to use it.
A practical, code-first guide to Anthropic’s Claude Message Batches API: limits, pricing, prompt caching, 300k-token outputs, and production patterns.
A practical blueprint for deploying autonomous AI agents to production—architecture, safety, reliability, evals, cost control, and ops patterns.
A practical guide to function calling vs. tool use in LLMs: architectures, trade-offs, design patterns, reliability, security, and evaluation.
Design a reliable AI summarization API for news: architecture, schema, grounding, evaluation, safety, compliance, and cost strategies.
Build a practical multi‑modal RAG system that retrieves from images and text using OCR, captions, CLIP embeddings, and vector search.
