170 related articles

Build high-quality AI projects on a budget. Learn how to use Ollama, Groq, Chroma, and other free open-source tools to build RAG systems and multi-Agent workflows from scratch.

A fresh grad interviewing for a GenAI Trainer role faced prime number coding and activation function questions while the interviewer used Gemini to generate questions live — exposing AI hiring chaos.

Based on the ProductPai discovery community's weekly rankings, we round up the top five new AI products—from the family AI picture book platform Tonghui and AI imaging studio Zopia to the layout tool Kami and macOS app Frosted.

A roundup of the top five AI products from ProductPai's weekly rankings: from the family AI picture-book platform TongHui and AI imaging studio Zopia, to the document layout tool Kami and macOS efficiency app Frosted.

A complete guide to installing and configuring Claude Code, using CLI commands, switching to Chinese LLMs like DeepSeek via CC Switch, and mastering conversational Git workflows and automated code fixes.

A complete guide to installing and configuring Claude Code, using CLI commands, switching to Chinese LLMs like DeepSeek via CC Switch, plus conversational Git workflows and automated code fixing.

Enterprise AI/LLM roles now demand engineering skills: streaming recovery, high concurrency, multi-tenancy, LLM gateways, Langfuse observability, and evaluation platforms. Master these 8 core competencies.

An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.

A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.

A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.

DeepSeek open-sources DeepSpec, a full speculative decoding training and evaluation toolkit featuring three draft model algorithms (Ego3, DeepFlash, DeepSpark), 12 checkpoints, MIT license, and 60–85% real-world speedup.

A deep dive into the three core LLM job roles — Application Engineer, R&D Engineer, and Algorithm Engineer — covering academic requirements, salaries, and skill roadmaps.

A practical guide to interface alignment, SSE streaming integration, and end-to-end testing for enterprise AI Agent projects — eliminate wasted debugging and ship faster.

A deep dive into LangChain, LangGraph, MCP, and enterprise AI Agent development: covering Streamable HTTP updates, DeepSeek R1 Function Calling limits, and Qwen3 agent capabilities.

A zero-to-product AI coding bootcamp by Guo Ke: 14 live sessions, 6 real projects, covering Cursor, Trae, and Codex. Full walkthrough from setup to deployment.
Goku: A Browser-Based LLM Inference En…
Goku is a browser-based LLM inference engine built on WebAssembly and wllama, enabling local AI inference, model management, and offline use — no cloud API needed.

An electronics engineering student who hates hardware wants to pivot to backend dev, facing a dilemma between a "guaranteed" degree and a third-tier BCA. We break down the degree vs. skills tradeoff, how to explain gaps, and self-study paths.

How can Java developers break into AI? This guide covers the AI application engineer career path, RAG knowledge base fundamentals, vector database retrieval, and enterprise-grade RAG challenges.

A four-stage AI Agent development roadmap: from core theory and ReAct paradigm to multi-agent collaboration and production deployment. Covers DeepSeek, Coze, Dify, and more.

Metaview engineer Nick Mayhew explains how to build self-evolving prompt systems: Markdown over rules, layered workflows to cut token costs, and agents that learn user preferences for human-centered AI recruiting.