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5 / 200AI 开发实战教程,从零到一构建你的 AI 应用。
All200
Beginner32
Intermediate92
Advanced76
All
Prompt Engineering12
RAG Retrieval Augmented17
Agent Development34
Model Fine-tuning21
Deployment and Operations25
AI Application Development40
DeepSeek API16
Multimodal Development6
AI Safety6
Model Inference3
Retrieval Systems1
RAG Retrieval1
Model Architecture3
API Development1
Agent Development10
Model Deployment1
Multimodal1
Model Evaluation2
Tutorial
Date
DeepSeek Model Download and Installation
Deployment and Operations
Beginner
Complete Guide to DeepSeek Model Download and Installation: Hugging Face Download, Ollama One-Click Deployment, Quantization Version Selection, and VRAM Requirements Assessment. Includes download links, installation steps, and verification methods for all DeepSeek models.
DeepSeek Harness Setup Guide: Install & Configure dsh
Deployment and Operations
Beginner
Run dsh from scratch: npx and global install, Web UI setup, working directory, four run modes, plus DeepSeek, GLM, Qwen, MiMo and Volcengine model config.
DeepSeek Model Selection and Deployment Guide
Deployment and Operations
Beginner
Detailed explanation of the DeepSeek full model series: capability characteristics, applicable scenarios, and deployment solutions for models such as V3, R1, Coder, and VL2. A complete guide from model selection to production deployment, including API calls and local deployment tutorials.
Comparison of Local Deployment Options for Large Models
Deployment and Operations
Beginner
Local deployment of large models is a key solution for ensuring data security and controlling costs. This article compares mainstream deployment solutions such as Ollama, vLLM, and llama.cpp, helping you make a choice from dimensions such as ease of use, performance, and hardware requirements.
Install DeepSeek Harness: npx, Global npm & Source Build
Deployment and Operations
Beginner
Install DeepSeek Harness three ways: npx, global npm, or source build. Configure dsh web vs headless, Web UI setup, API Key, and OpenAI-compatible endpoints.