#few-shot prompting

35 related articles

2026年6月20日·3 min

Stop Writing Prompts by Hand: Let AI Agents Prompt Themselves

Deep dive into the AI coding paradigm shift: from hand-crafted prompts to self-prompting agent loops. Learn how agent self-review and proactive context fetching enable scalable, high-quality AI coding.

2026年6月20日·3 min

Andrew Ng's Advanced AI Prompting Guide: Core Methods for Going from Beginner to Expert

Based on Andrew Ng's latest AI prompting tutorial, learn the core gaps between beginners and experts: providing context, overcoming sycophancy, iterative workflows, and four key principles.

2026年6月20日·3 min

The Complete Guide to Prompt Engineering: From Zero to Practical Application

A complete guide to learning Prompt Engineering, covering LLM selection, prompt writing techniques, zero-shot/few-shot prompting, chain of thought reasoning, and Python API development.

2026年6月18日·4 min

Spring AI vs LangChain4j: How to Choose a Java AI Framework

In-depth comparison of Spring AI and LangChain4j — two major Java AI frameworks — covering core features, completeness, ecosystem support, and usability to help Java developers make the right choice.

2026年6月18日·3 min

Claude Code Dynamic Workflows: Orchestrating Hundreds of Sub-Agents Working in Parallel

Deep dive into Claude Code Dynamic Workflows: enable parallel sub-agent orchestration via three methods for multi-agent collaboration and automated pipelines.

2026年6月17日·3 min

Claude Code Skills Explained: A Practical Guide to AI-Powered Test Case Generation

Deep dive into Claude Code Skills: four core advantages including progressive loading, version control, and reusability, plus a practical guide to AI-powered test case generation.

2026年6月17日·3 min

Testing DeepSeek's Safety Mechanisms: Multiple Jailbreak Attempts Successfully Blocked

An overseas security blogger systematically tested DeepSeek's jailbreak resistance using direct requests, rephrased prompts, and varied strategies. Results show robust intent recognition, consistent blocking, and context-aware safety mechanisms.

2026年6月15日·4 min

AI + Java Backend Learning Roadmap: Four Stages from CRUD to Senior AI Engineer

A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.

2026年6月15日·3 min

AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development

A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.

2026年6月14日·3 min

AI Agent Learning Roadmap: A Four-Step Practical Guide from Zero to Job-Ready

A proven AI Agent learning roadmap covering four core elements, mainstream architecture patterns, multi-agent collaboration, and hands-on projects to go from zero to job-ready in three months.

2026年6月14日·3 min

Beginner's Guide to Agent Skills: Structure Breakdown & Custom AI Skill Development

A deep dive into Agent Skill's core concepts and internal structure, covering skill.md, references, scripts, and assets with a restaurant poster Skill example.

2026年6月14日·3 min

AI Large Language Model Learning Roadmap: A Systematic Path from Zero to Project Implementation

A detailed AI LLM learning roadmap covering Transformer architecture, Prompt Engineering, RAG, Agent development, model fine-tuning & deployment, with enterprise project guides.

2026年6月14日·4 min

AI Agent Systematic Learning Path: From Zero to Independent Development

A systematic AI Agent learning path covering core principles, Prompt engineering, RAG, multi-Agent collaboration, and hands-on projects for beginners.

2026年6月14日·3 min

AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning

Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.

2026年6月13日·3 min

OpenAI Codex Beginner's Guide: From Environment Setup to Enterprise-Level Practice

A systematic guide to OpenAI Codex and AI LLM learning, covering Transformer basics, dev environment setup, prompt engineering, RAG deployment, LoRA fine-tuning, and AI Agent enterprise projects.

2026年6月13日·4 min

Complete AI Large Language Model Learning Roadmap: From Beginner to Production-Ready

A systematic guide to learning AI large language models, covering Transformer architecture, prompt engineering, RAG, AI Agents, fine-tuning, and enterprise projects from beginner to production-ready.

2026年6月12日·3 min

AI Agent Learning Roadmap: A Four-Stage Plan from Zero to Hands-On

A systematic four-stage AI Agent learning roadmap covering LLM API calls, ReAct paradigm, memory mechanisms, and multi-agent collaboration for beginners.

2026年6月12日·3 min

Codex vs. Cloud Code Practical Guide: Mastering AI Coding Agents from Beginner to Expert

In-depth analysis of OpenAI Codex and Anthropic Cloud Code—two top-tier AI coding agents. Learn their differences, use cases, and practical tips to boost development efficiency.

2026年6月9日·3 min

AI Large Language Model Learning Path: A Three-Step Practical Guide from Zero to Freelancing

A three-step guide to LLM app development: from Prompt Engineering and API calls, to RAG knowledge bases, to Agent development and multi-agent collaboration.

2026年6月4日·4 min

Legitimate Slacking for Programmers: The Art of Waiting from Code Compilation to AI Generation

From the classic XKCD compilation meme to AI coding era reinterpretations — exploring how waiting for compilation and AI generation is reshaping developer productivity.