AI Playbooks
Disclaimer This guide is provided for informational and educational purposes only and is not a substitute for professional medical advice, diagnosis, or treatment. MedGemma should not be used without proper validation, adaptation, and/or meaningful modification for your specific application. Model outputs are not intended for direct clinical decision-making, diagnosis,
AI Playbooks
1. Introduction Last week, I published a tutorial on Connecting Claude Code to a Chinese Domestic AI Model. A reader then asked: Why didn’t you use VS Code? Good question. Since I’m used to working in the command line, I hadn’t considered VS Code. Today, I’ll
AI Playbooks
📚 Table of Contents * Overview of LangChain * Setting Up Your Environment * Core Component: Model I/O * Core Component: Chains * Core Component: Memory * Core Component: Tools * Core Component: Agents * Core Component: Retrieval * Revisiting LangChain --- 1. Overview of LangChain 1.1 What is LangChain? LangChain is an open-source framework created in October
AI Playbooks
Introducing Gemini 3 — Our Most Intelligent Model Yet Today we’re unveiling Gemini 3, our most advanced AI model to date — designed to transform any idea into reality. With cutting-edge reasoning capabilities, Gemini 3 Pro sets new records across major AI benchmarks compared to earlier versions. It outperforms Gemini 2.
AI Playbooks
# How to Build a Stand‑Out Portfolio Website (2025 Guide) Ever since my article on [How to Become a Full Stack Developer and Get a Job in 2025](https://www.freecodecamp.org/news/become-a-full-stack-developer-and-get-a-job/) went viral, I’ve been flooded with DMs, emails, and messages. The questions span **learning to
AI Playbooks
# Advanced Prompt Engineering: ReAct & Reflexion Frameworks for LLMs In **Artificial Intelligence** — particularly in the application of **large language models (LLMs)** — models perform remarkably well on many tasks but still face clear limitations in complex scenarios. Tasks requiring **multi-step reasoning**, **real-time information retrieval**, and **dynamic decision-making** remain challenging. ## Common Limitations
AI Playbooks
# Table of Contents 1. Foreword 2. Risks and Necessity of Timeout Control 3. Timeout Parameter Example 4. Context-Based Timeout Implementation 1. Timeout Propagation via Context 2. Timeout Control with Tracing 5. Retry Strategy 1. Exponential Backoff with Jitter 2. Error Type Determination 6. Idempotency Assurance 1. Request ID + Redis Implementation
AI Playbooks
Because Quirky. Because Fun. Because Unique. > Because quirky. Because fun. Because unique. Duolingo, now valued at nearly $100 billion with over 100 million monthly active users, still sees 80% of its user growth from organic word of mouth—14 years after its founding. Its secret? A distinctive quirky vibe
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
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
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&
AI Playbooks
📑 Table of Contents * Introduction to Agents * Core Evolution and Core Modules of an Agent * Building an Agent Using a Large Language Model (Developer’s Perspective) * Evaluating Agents --- 🌟 From Workflow to Agentic AI When data can think and code can make autonomous decisions, we move beyond workflows into Agentic AI.