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Weights & Biases

25 stories

Weights & BiasesToolsRAG pipeline tutorial: Common pitfalls (and how to fix them) RAG tutorial: build a LangChain Q&A pipeline over your docs—chunking, embeddings, retrieval, citations, and Weave evaluation, pitfalls fixed.

Weights & BiasesToolsNvidia reportedly agrees to purchase Hugging Face for $13B

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Weights & BiasesToolsTutorial: Human-in-the-loop AI for customer service with LangGraph and W&B Weave Build a human-in-the-loop customer service workflow with LangGraph and W&B Weave: risk-scored AI replies that auto-send or pause for human review, with evaluation and dashboards.

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Weights & BiasesToolsAI Guardrails for LLM applications and Agents: Mechanisms, trade-offs, and implementation patterns A comprehensive guide to what AI Guardrails actually do, where they cost you, and when to skip them entirely.

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Weights & BiasesToolsLLM tracing tutorial: Debug, monitor, and evaluate an agent with W&B Weave

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Weights & BiasesToolsI built a research agent that reads the internet so I don’t have to. Then I plugged it into my wiki. Or, how I trained an agent to research AI

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Weights & BiasesToolsWhen axis-aligned boxes break: Lessons from a CVPR-published traffic AI A case study in treating representation as a design decision, not a given — with the code and the logging to prove it.

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Weights & BiasesToolsPrompt versioning and regression testing for LLM apps with W&B Weave

Weights & BiasesToolsGoogle Reshapes AI Leadership as Demis Hassabis Shifts to AGI Strategy Role

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Weights & BiasesToolsLLM observability: How to trace, evaluate, and monitor production AI applications

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Weights & BiasesToolsTutorial: One-shot document parsing for RAG with Unlimited-OCR and W&B Weave

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Weights & BiasesToolsLeave no trace (in the cloud): W&B Weave locally in three commands If you want the shortest path from “curious about Weave” to “looking at a trace," well, you're in luck

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Weights & BiasesToolsBuilding your first RAG system with FAISS and W&B Weave Build a working RAG system from scratch with FAISS and W&B Weave: chunking, embeddings, retrieval, grounded generation with citations, and a traced evaluation.

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Weights & BiasesToolsAn intro to agentic RAG An introduction to agentic RAG: retrieval inside an agent loop, core architecture components, worked Python examples traced with W&B Weave, and when not to use it.

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Weights & BiasesToolsTutorial: Evaluating GPT-5.6, GPT-5.5, and GLM-5.2 on repository-level coding How GPT-5.6, GPT-5.5, and GLM-5.2 compare on repository-level coding: hidden-test pass rates, reliability, latency, and estimated cost, measured with W&B Weave.

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Weights & BiasesToolsTracking TPU Hardware Metrics with Weights & Biases

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Weights & BiasesToolsFraud detection Machine learning for fraud detection in banking

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Weights & BiasesToolsFine Tuning Series 1: Generating Aligned and Diverse Synthetic Datasets for LLM Fine Tuning Learn how to create synthetic instruction datasets for fine-tuning, inspired by the Self-Instruct framework, and trace every generation with W&B Weave.

Weights & BiasesToolsWorld action models use robot dreams to make robot actions Analyzing World Action Models’ ability to zero-shot learn new tasks.

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Weights & BiasesToolsUnderstanding HRM-Text-1B - A tutorial

Weights & BiasesToolsGoogle’s Gemini 3.6 Flash and 3.5 Flash-Lite Benchmark Scores Google has introduced Gemini 3.6 Flash and Gemini 3.5 Flash-Lite with a strong emphasis on measurable improvements across coding, reasoning, computer use, long-context understanding, and real-world…

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Weights & BiasesToolsEvaluating Claude Opus 5 vs Fable 5 Claude Opus 5 vs Fable 5 coding agent benchmark: same repo-repair harness and Weave Evaluation scoring. Compare cost, partial-repair quality, and workflow.

Weights & BiasesToolsTrack, guard, and remediate AI usage with W&B Weave and CrowdStrike Falcon AIDR Learn how Weave and CrowdStrike Falcon AI Detection and Response can help ensure internal AI systems are handling sensitive data appropriately

Weights & BiasesToolsGLM-5.2: The open coding model that put the critic back into RL A close look at how Zhipu built GLM-5.2, from DeepSeek Sparse Attention to critic-based PPO, with a live agentic coding demo traced in W&B Weave.

On the calendar

予定 · Conferences and launch events, this week's stories from each corner of the industry, and what its press is covering — in English

On view

This week, from that corner the newest stories from the corner of the industry you picked

The wire their own posts, translated

How code moves in 2026 from the industry's own reports

Sources

Fetched every six hours, linked to the original

About

The name is the button.

An agent writes the code now, and a human thumb hovers over Accept all a hundred times a day. The honest question of this decade is what, exactly, you just accepted. So I read the diff.

Eight years as a backend engineer in Stockholm, back in Tokyo since 2023, and I still ship something small most nights, usually badly. My one rule: the only real review of a model is the thing you built with it. That is why there is no leaderboard on this site.

Around a hundred and forty sources come through — the labs' own posts, the papers, the tools, the runtimes and languages nobody is watching yet, the chip under the demo, and the newsletters people actually forward. What is moving gets counted so the week reads at a glance, and every few days I explain one mechanism in plain words.

A story here is a headline, a short excerpt, one image and the link to whoever wrote it. We never reproduce the post; the images belong to their authors. A post written in Japanese appears in Japanese, exactly as it was published, and the link goes to the original.

— Yuki Halvorsen, Tokyo