#few-shot learning
29 related articles
·4 min
The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.
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·3 min
Monetizing Claude Code: 4 Proven Revenue Paths Broken Down
Deep breakdown of 4 monetization paths for Claude Code: AI-accelerated freelancing, shipping tools at scale, selling methodology, and content creation. Each path is validated with real examples.
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·3 min
Prompt Template Design for Document Summarization: A Practical Guide to Three-Layer Progressive Prompt Engineering
A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.
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Getting Started with Claude Code: Setu…
·3 min
Getting Started with Claude Code: Setup, Configuration & AI-Driven Testing in Practice
A practical guide to Claude Code: core concepts, setup tips, and how to pair it with DeepSeek for AI-driven software testing workflows.
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Codex and Claude Code Multi-Agent Coll…
·2 min
Codex and Claude Code Multi-Agent Collaboration: A Practical Guide to Team-Based Workflows
Learn how to make Codex and Claude Code collaborate like a team. Use a cloud Agent orchestrator, shared project spaces, and clear task division to build a multi-AI Agent team workflow.
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Claude Code vs ByteDance Codex: A Guid…
·2 min
Claude Code vs ByteDance Codex: A Guide to Chinese Learning Resources and Choosing the Right Tool
Compare Claude Code and ByteDance Codex: their positioning, core capabilities, and use cases. Includes Chinese learning resource recommendations and beginner path selection guide for AI programming.
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AI Agent Development Learning Roadmap:…
·3 min
AI Agent Development Learning Roadmap: A Complete Four-Stage Guide from Beginner to Practitioner
A systematic AI Agent development learning roadmap covering core concepts, ReAct/CoT paradigms, multi-agent collaboration, and hands-on projects across four stages.
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Learning AI Agent Development from Scr…
·3 min
Learning AI Agent Development from Scratch: A Beginner's Path and Monetization Guide
A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.
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LangChain from Beginner to Agent Devel…
·3 min
LangChain from Beginner to Agent Development: A Complete Learning Path for LLM Application Development
A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.
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AI Large Language Model Learning Roadm…
·3 min
AI Large Language Model Learning Roadmap for Beginners: A Three-Month Hands-On Guide
A detailed zero-to-hero AI large model learning roadmap covering four phases—fundamentals, RAG, Agents, and engineering deployment—with a practical three-month study plan and career advice.
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·2 min
Tokenmaxxing: OpenAI Invests $2M in Tokens to YC Startups — A New AI Startup Paradigm Emerges
What is Tokenmaxxing? OpenAI provides $2M in Token credits to each YC startup, marking a fundamental shift in AI startup investment. Analysis of Token-as-capital, how Tokenmaxxing startups operate, and potential risks.
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·2 min
Two Years of AI Growth: From Passively Following Instructions to Proactively Understanding Intent
A look at AI's core evolution over two years: from a prompt-dependent instruction follower to an autonomous collaborator that understands intent, plans tasks, and self-corrects.
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·2 min
OpenAI Officially Rebuilds Its Robotics Team: Hiring Hardware and ML Engineers at Scale
OpenAI officially returns to robotics, hiring full-stack hardware and ML engineers at scale. Led by DALL·E creator Aditya Ramesh, the team evolved from world simulation research to build general-purpose robots.
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Industry Insights·2 min
AI Product Development in Practice: Model Selection, Building Moats, and Paths to Commercialization
Practical strategies for AI product development: why not to train models from scratch, when to use APIs vs. fine-tuning, building product moats, and the full path from evaluation systems to commercialization.
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Tutorials·2 min
LangChain Few-Shot Prompt Templates in Practice: A Complete FewShotPromptTemplate Tutorial
Learn LangChain FewShotPromptTemplate: core parameters, implementations for text completion and chat models, and practical use cases like batch file renaming to reduce LLM hallucinations.
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Industry Insights·3 min
From GPT-1 to ChatGPT: How Ilya's Bet Ignited the AI Revolution
From GPT-1 mocked as garbage in 2018 to ChatGPT sweeping the globe, how Ilya Sutskever's faith in Scaling Laws led OpenAI from the Transformer to the LLM revolution.
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Tutorials·4 min
Zion No-Code Platform: A Complete Hands-On Tutorial for Building AI Agents with Drag-and-Drop
Learn how Zion's no-code platform lets you build AI agents via drag-and-drop, with a hands-on prompt optimization assistant tutorial covering knowledge base integration, UI building, and API access.
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Deep Dives·2 min
Learning AI Isn't Just About Making Money — It's About Making Yourself More Valuable
AI has deeply penetrated healthcare, law, content creation, and more. Learning AI not only boosts efficiency but builds compound skills that make you more valuable in the job market.
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Industry Insights·3 min
Career Switching to AI with Zero Background: Is a Three-Month Fast Track Really Feasible?
In-depth analysis of switching to AI with zero background: insights from 300+ job descriptions, tailored advice for different backgrounds, and realistic expectations for the three-month timeline.
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Tutorials·3 min
Java Developers Transitioning to AI Engineers: New Interview Trends and Learning Roadmap
Deep analysis of interview trends for Java developers transitioning to AI engineers, covering LLM integration, RAG, Spring AI framework practice, with a complete learning roadmap.
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