LLM Agent Memory Architecture for Production (2026)
LLM agent memory architecture for production — short-term, long-term, and episodic memory patterns, retrieval, decay, and where they break.
LLM Evaluation Pipelines: LLM-as-Judge Done Right (2026)
Build an LLM evaluation pipeline that you can trust — golden sets, LLM-as-judge pitfalls, calibration, drift detection, and a reference workflow.
Llama 4 vs DeepSeek V3 vs Claude Sonnet: Industrial-Reasoning Benchmark (2026)
Reproducible 2026 benchmark — Llama 4, DeepSeek V3, and Claude Sonnet 4 on industrial reasoning tasks (RAG, OPC UA Q&A, root-cause). Methodology + charts.
GraphRAG + Hybrid Retrieval: The Knowledge-Graph Pattern (2026)
Applied 2026 pattern — GraphRAG combined with hybrid retrieval (BM25+vector) on enterprise knowledge graphs: when it wins, when it doesn't, with code.
Speculative Decoding for LLM Inference: Architecture (2026)
How speculative decoding cuts LLM latency in 2026 — draft/target models, EAGLE-2, Medusa heads, and when speculation wins vs hurts.
vLLM vs SGLang vs TensorRT-LLM: H100 Benchmark (2026)
Reproducible 2026 benchmark of vLLM, SGLang, and TensorRT-LLM on H100 for Llama 70B and Mixtral — methodology, throughput, TTFT, recommendations.
Cryo-EM at 1.2 Å: Atomic Resolution Milestone Explained (2026)
Why cryo-EM hitting 1.2 Å atomic resolution in 2026 matters — the science, the Krios G5 microscope, AI-driven processing, and drug discovery implications.
RAG Over CAD and BOM: Reference Architecture for PLM Knowledge Retrieval
RAG over CAD and BOM data for PLM knowledge retrieval — chunking strategies for engineering drawings, BOM graph embeddings, and a reference architecture proven in 2026 production.
Q2 2026 Open-Source Embedding Models Benchmark: BGE, GTE, E5, Stella, Nomic
Q2 2026 open-source embedding models benchmarked — BGE-M3, GTE-Qwen2, E5-Mistral, Stella, Nomic on MTEB plus latency, memory, and industrial retrieval tasks.
Multi-Agent Orchestration 2026: MCP vs A2A vs LangGraph
Multi-agent orchestration in 2026 — MCP for tools, A2A for agent-to-agent, LangGraph for stateful flows. Reference architecture, picking criteria, and production patterns.