#vector quantization
275 related articles
·3 min
Java Developer's Guide to AI Application Development: Career Path, Skills, and Hands-On Strategy
A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
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·4 min
AI Large Language Model Learning Roadmap: A Complete Guide from Zero to Project Implementation
A systematic AI LLM learning roadmap covering prompt engineering, RAG, AI Agent development, and fine-tuning — with beginner-friendly paths and practical tips.
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·3 min
vLLM Deep Dive: How PagedAttention Enables High-Throughput LLM Inference
Deep dive into vLLM's core technologies for high-throughput LLM inference, including PagedAttention memory management, continuous batching, distributed deployment, and comparisons with TensorRT-LLM.
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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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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·4 min
Deep Dive into Claude Code's Agent Architecture: From Principles to Minimal Implementation
Deep analysis of Claude Code's four core agent modules: Agent Loop, Tool System, Skills, and Memory, with a TypeScript minimal implementation guide for frontend engineers transitioning to AI development.
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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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Tutorials·3 min
AnythingLLM Installation & Configuration Guide: Building a Local Knowledge Base with API Integration
Complete guide to AnythingLLM local knowledge base setup: installation tips, Ollama model configuration, document vectorization, recall optimization, and API integration.
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Tutorials·1 min
AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer
A systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.
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Tutorials·3 min
Stable Diffusion Local Deployment Guide: Run AI Image Generation Free with 8GB RAM
Complete guide to deploying Stable Diffusion locally. Covers hardware requirements, one-click installation, and model setup. Run AI image generation free with 8GB RAM.
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Product Reviews·4 min
OpenHuman Deep Dive: A Context-First Open-Source Personal AI Agent
Deep dive into OpenHuman open-source AI Agent: context-first architecture, Rust+React hybrid, Memory Tree system, Token Juice compression, and multi-model routing.
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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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Industry Insights·3 min
Deep Dive into Three Major LLM Career Paths: Requirements, Tech Stacks, and Career Prospects
Deep analysis of three core LLM roles—Application Engineer, Development Engineer, and Algorithm Engineer—covering technical requirements, salary thresholds, and career prospects including RAG, fine-tuning, and inference deployment.
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Product Reviews·3 min
WaLiCode v0.2.0: Indie AI IDE Adds Multi-Project Chat and Task Decomposition
Indie developer releases AI IDE WaLiCode v0.2.0 with multi-project chat, task decomposition mode, and Ollama local model support, addressing pain points in mainstream AI IDEs.
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Tutorials·3 min
LLM Learning Roadmap: A Complete Guide from Beginner to Project Implementation Across Seven Core Modules
A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
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Tutorials·2 min
DeepSeek Local Deployment Tutorial: One-Click Install & Run with Ollama
Learn how to deploy DeepSeek R1 locally using Ollama with this step-by-step guide covering installation, model selection, hardware requirements, and advanced features like GUI and knowledge bases.
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Product Reviews·1 min
Qwen3.6 27B: Real-World Testing of Three Unconventional Quantized Models — Code Performance +15.8PP, 40B Distillation, 16GB Adaptation
Real-world comparison of three community-built Qwen3.6 27B variants: OmniMerge V4 with +15.8pp code gains, 40B OPUS distilled for roleplay, and a 16GB-optimized version for limited VRAM.
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Tutorials·2 min
Local Deployment of DeepSeek + RAG Knowledge Base Tutorial: A Step-by-Step Guide with Ollama + RAGFlow
Step-by-step guide to locally deploying DeepSeek with Ollama and building a RAG private knowledge base with RAGFlow. Covers environment setup, Docker deployment, and Embedding principles.
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Tutorials·1 min
DeepSeek + RAGFlow Local Deployment AI Knowledge Base Tutorial (2025 Latest)
Step-by-step guide to locally deploy a personal AI knowledge base with DeepSeek + RAGFlow + Ollama. Covers RAG principles, Ollama setup, Docker deployment, and knowledge base optimization.
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Tutorials·2 min
MoS-TTS-Nano Deployment Guide: Ultra-Lightweight 0.1B TTS Model That Runs on CPU
Battle-tested MoS-TTS-Nano local deployment guide. 0.1B ultra-lightweight TTS model runs on quad-core CPU without GPU. Covers Conda setup, pynini installation fixes, model download, and Gradio WebUI.
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