#LLM
5136 related articles
·2 min
Frontend to AI Agent Architect: A Complete 3-Month Learning Roadmap
How can frontend engineers transition to AI Agent development? A systematic 3-month roadmap covering AI concepts, model selection, team productivity, and Agent architecture.
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·2 min
MiniMax M3 Launches on Fireworks: 512K Context and MSA Sparse Attention Explained
MiniMax M3 launches on Fireworks with 512K context and multimodal input. MSA sparse attention delivers 9x prefill and 15x decode speedups. Deep dive into architecture, pricing, and open-model competition.
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·3 min
Fireworks AI Launches Qwen 3.7 Plus: Zero Data Retention and 99.9% SLA for Enterprise Deployment
Fireworks AI launches Qwen 3.7 Plus with latency/throughput optimization, zero data retention, and 99.9% SLA enterprise guarantees. Explore the full-stack deployment solution for commercial open-source model inference.
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·2 min
Qwen3-Coder Deep Dive: A Coding Model Built for Long-Horizon Agent Loops
Deep dive into Qwen3-Coder: 11 hours continuous operation, 10K+ lines of code, 1000+ calls. Explore its long-horizon agent loop architecture, reasoning persistence, thinking mode switching, and deployment on Fireworks.
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·2 min
Deep Dive into Alibaba's AgentScope 2.0: Six Core Upgrades and Agent Design Patterns
Deep dive into Alibaba's AgentScope 2.0 multi-agent framework: event system, execution safety, human-in-the-loop, and ReAct vs Plan-and-Execute agent design patterns.
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·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.
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·2 min
Agent Middleware: Adding Interceptors to Model Calls
Learn how AI Agent middleware works through two practical examples — logging and security checks. Master the Observer and Guardian design patterns to build extensible, production-grade Agents.
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·3 min
Why SFT Can't Fix the Root Cause of JSON Errors: How GRPO Correctness Training Breaks Through Coding Agent Bottlenecks
Analysis of why SFT can't fix coding agent JSON errors and how GRPO's binary reward signals and synchronized weight updates train directly for correctness.
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·3 min
Fireworks Platform Adds Nemotron 3 Ultra Post-Training Support: End-to-End Fine-Tuning and Deployment
Fireworks AI adds NVIDIA Nemotron 3 Ultra post-training support with SFT, DPO, LoRA, and full fine-tuning, enabling seamless train-to-deploy workflows for open-weight LLM customization.
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·3 min
Complete Guide to the Coze Platform: Build AI Agents with Zero Code
A deep dive into ByteDance's Coze platform: zero-code AI agent development, China vs. international editions, use cases, and how non-technical users can quickly build AI applications.
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·3 min
Java Developer's Guide to AI Application Development: From Spring AI to Intelligent Customer Service
A comprehensive guide for Java developers transitioning to AI application development, covering Spring AI, RAG, Function Calling, and a hands-on airline intelligent customer service project.
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·2 min
Claude Fable 5 Hands-On Review: Double the Price — Is It Worth It?
Hands-on comparison of Claude Fable 5 vs Opus 4.8 on landing page design and website rebuilds. Detailed API pricing analysis and practical advice on whether double the cost delivers double the value.
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·2 min
The 4-Stage Roadmap for AI Application Development: A Career Transition Guide from Beginner to Senior Engineer
A 4-stage roadmap for AI application development: from Python and RAG basics to Agent cluster architecture, covering the core skills needed for career growth.
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·2 min
Claude Code Best Practices Course: The Agentic Programming Guide Recommended by Andrew Ng
DeepLearning.AI and Anthropic launch a Claude Code best practices course covering architecture, context management, MCP servers, parallel sessions, and three hands-on projects for AI-powered coding.
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·3 min
Zed Editor Hands-On: 6x Faster Startup — A Lightweight Alternative for AI Coding on Older Hardware
Real-world comparison of Zed vs Cursor: startup speed, memory usage, and AI coding experience. Built in Rust, Zed launches in 3 seconds with minimal RAM usage — ideal for developers with limited hardware.
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·4 min
Building a 2D Shooter with Cocos + Trae: A Complete Zero-Code AI Programming Walkthrough
Learn how to build a Vampire Survivors-style 2D shooter using Cocos Creator and Trae CN with zero coding — from setup and design docs to AI code generation and debugging.
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·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.
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·4 min
Agent Tool Selection Guide: A Comprehensive Comparison of API, CLI, MCP, Browser Use, and Computer Use
Compare 5 Agent tool types: CLI, API, MCP, Browser Use & Computer Use on speed, accuracy, and token cost. Includes a selection priority table to cut costs and boost Agent efficiency.
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·2 min
Trae CN Download & Installation Guide: A Beginner's Guide to AI-Powered Coding
Complete guide to downloading and installing Trae CN, covering Windows & macOS setup, first-time configuration, Builder & Chat modes, and third-party AI model integration for beginners.
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·3 min
How Preply Is Redefining Language Learning with AI + Human Tutors
Deep dive into how Preply combines AI features like Lesson Insights with 100K human tutors to achieve 70%+ adoption rates, redefining personalized language learning.
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