1823 related articles

A deep dive into Spring AI 2.0: provider-agnostic APIs, RAG with vector databases, and how Java developers can build LLM apps using the Spring ecosystem.

LangChain is the leading open-source framework for LLM application development, supporting GPT-4, GLM, and other mainstream models. This article dives into its three core concepts: Components, Chains, and Agents.

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.
TutorialsA systematic guide to LLM engineer core skills covering RAG, Agent app development and SFT, RLHF fine-tuning, with clear learning paths for different backgrounds.
TutorialsA systematic four-stage career path for AI/LLM application development: from RAG and Agent fundamentals to architecture design, helping developers transition to AI roles targeting 40K+ monthly salary.
TutorialsA 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.
TutorialsHow to start LLM application development from scratch? A complete roadmap covering Python basics, RAG knowledge bases, and Agent development with LangChain.

Learn how Ollama API Key Proxy solves cloud LLM rate limiting through reverse proxy with round-robin key rotation, 429 auto-cooldown, and smart retry logic.

Deep dive into Project Rai-chan's tech stack: Ollama+Gemma local LLM, Unity rendering, VOICEVOX speech synthesis, and more — exploring the technical path for local AI companions.

Agenta is an open-source AI Agent collaboration platform supporting self-hosted models and any Agent framework, positioned as an open-source Claude Cowork alternative.

Reddit leaks suggest Grok 4.6 arrives around August 7 and Grok 4.7 in early September. This article analyzes xAI's rapid iteration strategy and token efficiency improvements.

A detailed guide to organizing full-stack ML project repositories, covering directory structure design, data-code separation, and externalized configuration to help ML developers move from experimental code to production-grade engineering standards.

A detailed guide to organizing full-stack ML project repositories, covering directory structure design, data-code separation, and configuration externalization to help ML developers move from experimental code to production-grade engineering.

Anthropic's Claude Mythos Preview model reportedly discovered improved cryptographic attack methods. This article analyzes the realistic boundaries of AI cryptanalysis capabilities and implications.

Anthropic's Claude Mythos Preview model reportedly discovered improved cryptographic attack methods. This article analyzes the real capability boundaries of AI cryptanalysis and its implications.

Google Gemini Managed Agents API introduces environment hooks, model selection, free tier support, and default model upgrades—empowering AI Agent developers with stronger execution control and lower barriers to entry.

Deep analysis of a Gemini jailbreak technique—the Observer and Accomplice method—examining how it exploits contextual manipulation and reasoning chain inconsistencies to bypass AI safety alignment.

As AI hype sweeps the globe, have our expectations far exceeded reality? This article examines the demo-vs-production gap, self-reinforcing capital narratives, and cognitive biases to provide a sober framework for judging AI's true utility.

OpenAI open-sources Codex Security components, bringing automated security detection to AI code generation. Analysis of its strategic value, developer impact, and the industry shift from capability to security.

OpenAI open-sources Codex Security components, bringing automated security detection to AI code generation. Analysis of its strategic significance and industry impact.