Articles tagged “AI Engineering”
7 articles in the library
#AI Engineering
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6 min readHiring AI Engineers in 2026: Skills That Actually Matter
What to look for when hiring AI engineers in 2026 — eval engineering, retrieval, agent debugging, MLOps for LLMs, and the skills that are overrated.
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6 min readTutorial: Build a Production RAG App in 2 Hours
A practical 2026 RAG tutorial — chunking, hybrid retrieval, reranking, citations, and eval. Production-grade Python code for OpenAI, Qdrant, Cohere.
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6 min readTutorial: Fine-Tune Llama 4 Scout for Your Domain
A 2026 hands-on tutorial for fine-tuning Llama 4 Scout — LoRA setup, dataset prep, training, eval, deployment. Concrete Python code with Unsloth.
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6 min readLoRA and Distillation: A Practical Guide for 2026
A 2026 practical guide to LoRA, QLoRA, and distillation — when to use each, default hyperparameters, dataset quality, the toolchain, and shipping to production.
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6 min readFine-Tuning vs RAG: The 2026 Decision Framework
A 2026 framework for choosing between fine-tuning and RAG — what each does, when each wins, and the hybrid pattern that most production systems actually use.
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6 min readRAG Best Practices in 2026: Chunking, Reranking, Hybrid Search
The 2026 RAG playbook — chunking strategies, hybrid retrieval, rerankers, and how long context fits in. Practical defaults and the four levers that move quality.
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6 min readStreaming AI Responses: SSE, WebSockets, and the Pitfalls
A 2026 production guide to streaming LLM responses — SSE vs WebSockets, TTFT targets, backpressure, client-disconnect handling, and error recovery.
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