#few-shot prompting
35 related articles
·4 min
The Art of Legitimate Slacking: From Code Compilation to AI Generation Waits for Programmers
From the classic XKCD compilation meme to AI coding era reinterpretations — exploring how waiting for compilation and AI code generation is reshaping developer productivity.
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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
Behind Apple AI's Repeated Delays: The 14-Year Internal Struggle of Siri Revealed
Why does Apple Intelligence keep getting delayed? From Siri's acquisition to AI team infighting, a deep dive into the organizational failures behind Apple's AI struggles.
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Tutorials
DeepSeek V3 + bolt.html: A Practical G…
·2 min
DeepSeek V3 + bolt.html: A Practical Guide to Generating Beautiful Web Pages with Zero Code
Learn how DeepSeek V3-0324 and open-source tool bolt.html combine to generate beautiful HTML pages with zero code using prompt engineering techniques.
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Product Reviews
Claude Opus 4.8 Deep Dive: A Comprehen…
·2 min
Claude Opus 4.8 Deep Dive: A Comprehensive Review of Judgment, Honesty, and Cost-Effectiveness
Deep dive into Claude Opus 4.8's core upgrades: improved judgment, optimized honest feedback, and Fast Mode costs cut to one-third. Compared with DeepSeek and GPT-5.5 for AI coding and long-context reasoning.
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Tutorials
AI Programming in Practice: A Complete…
·3 min
AI Programming in Practice: A Complete Breakdown of Building a Website from Scratch in 7 Days
A developer used Claude Code and DeepSeek to build and deploy a complete website from scratch in 7 days. 99% AI-written code, AI-generated data, with full process breakdown and cost analysis.
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Tutorials
AI Agent Learning Roadmap: From Beginn…
·3 min
AI Agent Learning Roadmap: From Beginner to Enterprise-Level Development in Three Months
A detailed three-month AI Agent learning roadmap covering LLM basics, ReAct paradigm, LangChain, memory mechanisms, tool calling, and multi-agent collaboration with practical project suggestions.
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Tutorials·2 min
Complete Breakdown of Andrew Ng's LangChain Course: Five Core Components and Hands-On Guide
Deep dive into Andrew Ng and Harrison Chase's LangChain course, covering the five core components—Models, Prompts, Indexes, Chains, and Agents—to help developers master LLM app development.
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Deep Dives·3 min
Harness Engineering Explained: Building Stable and Efficient Work Systems for AI
Deep dive into Harness Engineering: how to build execution environments, toolchains, and feedback loops for AI. From Prompt Engineering to system-level engineering for stable AI production.
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Tutorials·3 min
From Programmer to Agent Developer: A Detailed Four-Stage Learning Roadmap
A systematic four-stage learning roadmap for programmers transitioning to AI Agent development, covering core theory, ReAct and classic paradigms, Prompt engineering, and hands-on projects.
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Tutorials·3 min
Getting Started with LLM Application Development from Scratch: A Complete Guide to Learning Paths and Career Directions
A complete beginner's guide to LLM application development: learn the three key directions (API calling, RAG, Agent), master frameworks like LangChain, and follow a step-by-step learning path to become an AI application developer.
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Tutorials·3 min
Learning LLM Application Development from Scratch: A Complete Roadmap from RAG to Agent
How to start LLM application development from scratch? A complete roadmap covering Python basics, RAG knowledge bases, and Agent development with LangChain.
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Tutorials
LLM Learning Roadmap: A Complete Guide…
·3 min
LLM Learning Roadmap: A Complete Guide from Beginner to Project Implementation Across Seven Core Modules
A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
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Tutorials
Multi-Agent Automated Coding Framework…
·3 min
Multi-Agent Automated Coding Framework: A Deep Dive into Zero-Intervention Project Delivery
Deep dive into a multi-Agent automated coding framework using file state machines, scheduler orchestration, and multi-agent collaboration to achieve fully automated development from requirements to delivery in 3.5 hours with zero intervention.
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Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
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