#Few-shot learning
30 related articles
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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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials·3 min
Can You Really Transition to AI/LLM in Three Months? A Deep Dive into the Learning Roadmap
Deep dive into a popular 3-month AI/LLM transition roadmap: from Python basics and Prompt engineering to LangChain, RAG, Agents, and hands-on projects, with realistic time estimates and pitfall warnings.
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Product Reviews
Deep Dive into Qwen3.7 Max: One-Tenth …
·3 min
Deep Dive into Qwen3.7 Max: One-Tenth the Cost of GPT, Purpose-Built for AI Agents
Alibaba's Qwen3.7 Max targets AI agents with coding tasks at just $1.30 (one-tenth of GPT-5), supporting 35 hours of continuous execution. Deep analysis of its cost advantages, front-end capabilities, and three key limitations.
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Tech Frontiers
Generic Agent: A Self-Evolving AI Agen…
·3 min
Generic Agent: A Self-Evolving AI Agent Built with Just 3,000 Lines of Code
Generic Agent builds a self-evolving AI agent with just 3,000 lines of code, 9 atomic tools, and a five-layer memory architecture — using only one-sixth the tokens of competitors.
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Tutorials
Harness Engineering: A Practical Guide…
·3 min
Harness Engineering: A Practical Guide to AI Programming — From Prompts to Mastery
Explore the three stages of AI programming evolution: from Prompt Engineering to Context Engineering to Harness Engineering. Master enterprise-grade AI coding with Cloud Code + VS Code.
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Tutorials·3 min
Harness Engineering: A Practical Guide to AI Development — From Prompts to Mastering AI Agents
A deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.
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Tutorials·2 min
Coze Beginner's Guide: A Complete Tutorial for Building AI Agents with Zero Code
A detailed guide to Coze AI development platform's core features including agent building, workflow orchestration, knowledge base setup, and plugins — build custom AI apps with zero code.
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Tutorials
Claude Code + Skills: A Practical Guid…
·3 min
Claude Code + Skills: A Practical Guide to 10x AI-Driven Test Case Generation
Learn how Claude Code combined with Skills encapsulation enables AI-driven test case generation with 10x efficiency gains, from 33 to 400+ cases through encoded expert knowledge.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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