#AI inference optimization
1690 related articles
Product Reviews·3 min
Google Gemma 4 Hands-On Review: Offline on Smartphones + Ollama Deployment Tutorial
Hands-on testing of Google Gemma 4 open-source models running offline on three phones, with Dense vs MOE architecture explained and a complete Ollama + Claude Code deployment tutorial.
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Tutorials·4 min
AI Agents for Auto-Generating Excel Test Cases: From Setup to Private Deployment — A Complete Guide
Learn how to use AI agents to auto-generate Excel test cases. Covers Coze platform setup, Dify private deployment with DeepSeek + Ollama, workflow design tips, and prompt engineering for testers.
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Tech Frontiers·3 min
GPT 5.5 Instant Deep Dive: How It Tackles AI Hallucinations for Trustworthy Real-World Deployment
Deep dive into GPT 5.5 Instant's core breakthrough: dramatically reducing AI hallucination rates while achieving low latency and high accuracy. Explore real-world applications in legal, medical, and financial sectors.
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Deep Dives·2 min
RAG System End-to-End Breakdown: From Vector Indexing to Production Optimization
A deep dive into the complete RAG pipeline — covering vector embeddings, document chunking, retrieval and reranking, plus three production optimization techniques for building accurate enterprise AI knowledge base applications.
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Product Reviews·3 min
Moore Threads AI Coding Plan: A Fully Domestic AI Programming Service with 30-Day Free Trial
Moore Threads launches AI Coding Plan powered by its MTT S5000 GPU and GLM-4 code model, achieving full-stack domestic AI coding. Compatible with VS Code and Cursor, with a 30-day free trial.
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Tutorials·3 min
Why Learning AI from Scratch Leaves You More Confused — A Clear, Systematic Roadmap for Beginners
Confused learning AI from scratch? This guide breaks down why fragmented learning fails and provides a complete path from Python to deep learning with practical tips.
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Tutorials·1 min
Essential Skills for LLM Engineers: A Complete Guide to Application Development and Fine-Tuning
A systematic guide to LLM engineer core skills covering RAG, Agent app development and SFT, RLHF fine-tuning, with clear learning paths for different backgrounds.
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Tech Frontiers·3 min
OpenAI Codex Goes On-Premises, arXiv Introduces Collective Punishment for AI-Generated Papers
OpenAI partners with Dell to deploy Codex on-premises, arXiv imposes co-author bans for AI-generated papers, LeCun attacks Hinton, Huawei alumni drive embodied AI, Anthropic acquires dev tools company.
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Tutorials·1 min
Deep Dive into OpenAI Codex Architecture: Three Core Layers Explained with Practical Pitfall-Avoidance Guide
Deep dive into OpenAI Codex's three-layer architecture: instruction parsing, code generation, and optimization. Covers task scheduling, context management, common pitfalls, and practical development cases.
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Industry Insights·3 min
5 Actionable AI Money-Making Paths for Ordinary People: A Deep Dive
Deep analysis of 5 AI monetization paths for ordinary people: AI apps, account reselling, matrix accounts, lightweight paid services, and local model deployment.
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Industry Insights·4 min
In-Depth Analysis of the AI Large Model Job Market: Two Core Directions and Future Trends
In-depth analysis of the AI large model job market, breaking down the two core directions—algorithm research and engineering deployment—covering requirements, barriers, and career prospects.
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Tutorials·3 min
Complete Guide to Downloading, Installing, and Configuring Trae AI Coding Tool
Complete guide to ByteDance's free AI coding tool Trae: download, install, configure, and use with built-in Doubao, DeepSeek models. Native Chinese support, no VPN needed for developers in China.
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Tech Frontiers·1 min
Opus 4.7 Fast Mode Lands on Windsurf: 2.5x Speed Boost with No Loss in Intelligence
Claude Opus 4.7 fast mode launches on Windsurf with ~2.5x speed boost while maintaining full intelligence. Analysis of its impact on AI-assisted coding and Windsurf's competitive strategy.
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Deep Dives·3 min
How Multi-Agent Teams Solve AI Hallucination and Make AI Reliable
Deep analysis of how multi-agent architecture solves AI hallucination. From context rot to adversarial debate mechanisms, see how Anthropic, xAI, and Kimi reduce hallucination rates from 12% to 4.2%.
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Tutorials·2 min
Getting Started with Spring AI Alibaba: Best Practices for Java Developers to Integrate LLMs
Deep dive into Spring AI Alibaba's positioning and value, using a JDBC analogy to help Java developers understand how to integrate LLM capabilities into existing microservices architecture.
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Product Reviews·3 min
Claude Code Firmware-Level Ops in Practice: Virtual Disk Expansion & Local Agent Deployment
Hands-on testing of Claude Code for firmware-level ops: Ventoy virtual disk expansion, ext4-to-btrfs conversion, and a cost-effective local Agent deployment architecture with distributed design.
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Tutorials·3 min
llama.cpp MTP Acceleration Deployment Guide: Configuration Steps & Real-World Benchmarks
Guide to enabling MTP multi-Token prediction acceleration in llama.cpp, covering CUDA setup, desktop configuration, model selection, and benchmarks showing ~60 Token/s with Qwen3 27B.
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Research·4 min
Deep Dive into Claude Code's Open-Source Architecture: The Design Philosophy Behind 510,000 Lines of Code
Deep analysis of Claude Code's open-source architecture: dual-loop design, 7-step tool pipeline, 4-layer token compression, memory systems, and multi-agent collaboration patterns.
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Tutorials
Android 17 New Developer Tools: A Prac…
·3 min
Android 17 New Developer Tools: A Practical Guide to Performance Optimization and Cross-Device UI Development
Deep dive into Android 17 dev tools from Google I/O 2025: R8 Configuration Analyzer, Jetpack Glance cross-device UI, and Media3 AI FX for end-to-end media processing.
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Tutorials·4 min
Practical Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Step-by-step guide to building a local RAG knowledge base using RAGFlow, Ollama, and LM Studio with Docker, covering Embedding model deployment and network troubleshooting for private AI Q&A.
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