model-stack-2026-pretrain-post-train-inference
model-stack-2026-pretrain-post-train-inference
Read →/RESEARCH
Research library
Full desk archive. The same pieces also appear under Models, Frontier, Learn, Deploy, Apps, Markets, and Industry.
how-to-read-ai-leaderboards
how-to-read-ai-leaderboards
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Vertical RAG: Legal, Medical, and Finance (With Disclaimers)
Vertical RAG guide for legal, medical, and finance teams: disclaimers, citations, human review, audit logs, and limits.
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Tool Use and Computer Use: What Ships vs Demos
Compare AI tool use vs computer use in 2026: what ships, what stays demo-grade, and how to evaluate agents before procurement.
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Scaling Laws: Where Returns Diminish
Where LLM scaling laws still help, where returns diminish, and how builders should weigh data, compute, evals, and inference cost.
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Reasoning Models vs Chat Models: What Changes in 2026
Compare reasoning models (o-series, R1-class) vs chat LLMs on latency, cost, tasks, and eval caveats. For builders routing production traffic.
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RAG Is Not Dead: When to Retrain, When to Retrieve
RAG decision guide for when to retrieve, fine-tune, or hybridize enterprise knowledge systems, with eval and failure-mode checks.
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RAG Chunking and Embedding Model Choice
RAG chunking and embedding guide for production teams choosing chunk size, model fit, rerankers, and eval gates.
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Open-Weight vs Closed Frontier Models: A Builder's Debate (2026)
Compare open-weight and closed frontier LLMs by access, cost, safety, and hybrid fit. Desk synthesis, not a fake #1 ranking.
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Multimodal Video and Real-Time AI: Builder Guide 2026
Understand multimodal video AI: encoders, latency, streaming, evals, and product tradeoffs for builders shipping real-time features.
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Multi-Agent Orchestration Patterns
Supervisor, swarm, pipeline, and router patterns for multi-agent LLM systems—with failure modes and observability hooks.
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Long Context: 1M Tokens in Practice (2026 How-To)
Practical guide to million-token context: when it helps, memory math, chunking fallbacks, eval, and cost control for builders.
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Lab Watch: Frontier AI Labs in 2026
Track frontier AI labs in 2026 without hype: release patterns, access modes, builder watch signals, and what to ignore.
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GraphRAG and Knowledge Graphs for Enterprises
Enterprise GraphRAG guide: when knowledge graphs beat flat vector RAG, when to defer, and how to govern graph retrieval.
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Evaluate Retrieval: Recall, Faithfulness, and RAG QA
RAG evaluation guide for recall@k, faithfulness, citation audits, and release gates without benchmark gaming.
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Coding Agent Tools Compared: Cursor, Devin, and the Class
Compare coding agent tools by workflow fit, CI gates, data policy, and private repo evals—without fake #1 rankings.
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Browser Agents for Research Desks
How research and analyst teams use browser agents for source gathering—with governance, citation, and failure controls.
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Agent Memory: Short-Term, Long-Term, and RAG Hybrid
How AI agents combine session memory, vector stores, and structured state—and when RAG beats fine-tuning for memory.
Read →Agent Failure Modes and Observability
Agent failure modes in LLM systems: loops, tool misuse, silent errors, cost blowouts, and the traces builders need.
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Run an Open-Weight LLM Locally: Ops Checklist (2026)
Run an open-weight LLM locally with an Ollama path, model pins, smoke tests, failure table, and vLLM promotion gate.
Read →From Chatbot to Agent: A Practical Map (2026)
Chatbot vs AI agent map: tool use, multi-agent, memory, observability, and when not to agentize. Desk ladder for builders, Aug 2026.
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AI App Stack for Knowledge Workers (2026 Category Map)
AI app stack for knowledge workers: coding, research, docs, meetings, creative, buy-vs-build criteria, and governance.
Read →Everything is AI: Rewriting the Research Desk
From intuition-driven research to model → regime switch → execution discipline.
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