41 articles
A practical guide to monitoring LLM applications in production -- input/output logging, cost tracking, quality metrics, and a comparison of LangSmith, Langfuse, and Arize.
Below 3M tokens/day, the API wins. 3-30M, cloud GPU wins. Above 30M sustained, hardware pays back in 18-24 months. Real 2026 numbers.
End-to-end guide to deploying ML models -- from ONNX export and FastAPI serving to Kubernetes GPU workloads, canary deployments, and Prometheus monitoring.
Three frontier open-weight models compared for coding in April 2026. Qwen wins on consumer GPUs, GLM-5.1 leads SWE-Bench Pro, DeepSeek V4 has 1M context.
A practical guide to choosing between prompt engineering and fine-tuning for LLMs -- techniques, costs, LoRA/QLoRA, and a decision framework for production systems.
Q5_K_M is the sweet spot for Qwen 3.5 GGUF. Full perplexity table, K-quants vs IQ-quants, NVFP4 on Blackwell, and picks by VRAM tier with framework flags.
A practical guide to vector databases -- how embeddings and ANN algorithms work, and an honest comparison of Pinecone, Weaviate, Qdrant, and pgvector.
A practical guide to building Retrieval-Augmented Generation pipelines -- from document chunking and embedding to hybrid retrieval and evaluation metrics.
Language models process tokens, not words. Learn how BPE tokenization works, what the context window really is, and how the KV cache speeds up generation — with real pricing comparisons across OpenAI, Anthropic, and Google.
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