AI Playbooks
# Real-Time Web Search for LLMs with Tavily and LangChain Large Language Models (LLMs) are powerful — but **not always up to date**. They can write code, summarize books, and explain complex topics, yet often struggle with **real-time, factual, and recent information**. This is because an LLM’s knowledge generally stops at
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Weather Forecasting Enters a New Era Google DeepMind has just unveiled WeatherNext 2, pushing weather checks to hourly, real-time precision. Key Improvements * 8× faster than the previous generation * Hourly resolution: instead of “rain tomorrow afternoon,” now “light rain from 2–3 pm, intensifying 3–4 pm, stopping between 5–6
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Adding a New Column to a Massive Online Table: 6 Proven Approaches --- Introduction Adding a new column to an online table with tens of millions of rows requires careful planning. Running DDL operations directly on large tables can cause locking, slow queries, and even production outages. This article reviews
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IBM Granite 4.0: Hyper-Efficient, High-Performance Small Language Models IBM recently announced the Granite 4.0 family, a lineup of small language models designed for: * Faster performance * Significantly lower operational costs * Competitive accuracy compared to larger models A key innovation is Granite’s hybrid Mamba/Transformer architecture, which dramatically reduces
AI Playbooks
Datawhale Essentials — Building AI Agents from Scratch with HelloAgents --- Recently, Datawhale launched a content series to help learners systematically get started with AI Agents: Agent Collection. In earlier articles, we covered the basics of Agents and mainstream frameworks. Starting with this article, we move to a more challenging but
![[Issue 3613] Error Chaining in JavaScript: Using Error.cause for Clearer Debugging](/content/images/size/w600/2025/11/img_001-424.jpg)
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Preface This article explains how to use JavaScript's `Error.cause` property and why it’s valuable for clearer, more precise error handling. In JavaScript, throwing errors is easy — but understanding the real root cause is often messy. The `cause` property solves this by letting us chain errors while
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Learning from Slime Molds: A Metaphor for Decentralized Architecture Image credit --- Nature’s Lesson in Efficiency The multi-headed slime mold (Physarum polycephalum) offers an unexpected case study for software architects. This organism can form complex, efficient networks entirely on its own — without any central authority. Key experiment: Scientists placed
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VibeThinker: Weibo’s Disruptive Entry into the AI Model Arena When the AI industry is obsessed with a “parameter race”, Weibo AI has unveiled an unexpected and imaginative path — reshaping the battlefield for large models. A Lightweight Breakthrough Weibo recently launched VibeThinker, its first self-developed open-source large model. Despite having
Production AI
Transcript – AI, Lean Thinking & Building the Right Product Opening Story: Zappos & Lean Experimentation Back in 1999, 28‑year‑old Nick Swinmurn had an idea: people would buy shoes online. It sounds obvious today but at the time it was novel — and odd — because he had no inventory, factories,
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AI-Powered Personalized Language Learning for Children The concept of “a thousand faces” personalization brought by AI has first been realized in education — an industry that has always pursued tailored teaching. Today’s focus: foreign language learning, more specifically children’s English speaking practice. And the latest, most powerful tool has
AI Playbooks
Evolution of AI Evaluation: From Outputs to Processes AI is moving beyond single-response models toward multi-step agents capable of reasoning, using tools, and handling complex workflows. This evolution requires new evaluation methods—metrics that go beyond final outputs and account for multi-step decision-making. --- The Challenge of "Silent Failures&
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 # Chat Models Won’t Define the Future – **Spatial Intelligence Is the Real Battlefield** --- Over the past few years, the AI industry’s rapid acceleration has been almost **distorting**. Models break boundaries, products iterate at lightning speed, and