Deploy DeepSeek AI: Cloud, Local, API – Full Step‑by‑Step Guide

This guide walks developers through the full lifecycle of using DeepSeek—choosing the right deployment method (API, local machine, or private cloud), selecting model sizes based on hardware, configuring Tencent Cloud services, building AI applications, and integrating the model into development tools and mini‑programs.

AI Model DeploymentAI application developmentCloud Native

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Deploy DeepSeek AI: Cloud, Local, API – Full Step‑by‑Step Guide

DaTaobao Tech

Aug 30, 2024 · Artificial Intelligence

Overview of Large Model Application Development Platforms: LangChain, Dify, Flowise, and Coze

The article reviews open‑source and commercial large‑model development platforms—LangChain, Dify, Flowise, and Coze—detailing their architectures, low‑code visual tools, model integrations, extensibility, and a step‑by‑step Dify example, and concludes they are essential infrastructure for rapid AI application deployment.

AI application developmentDifyFlowise

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Overview of Large Model Application Development Platforms: LangChain, Dify, Flowise, and Coze

DataFunTalk

Jul 7, 2024 · Artificial Intelligence

Large Model Application Development: Architecture, Lifecycle, and Prompt Engineering

This article presents a comprehensive knowledge map for developing large‑model applications, covering a four‑layer technical architecture, the full development lifecycle, core elements such as prompt engineering and model fine‑tuning, evaluation methods, and practical case studies, offering guidance for both enterprises and startups.

AI application developmentLarge ModelPrompt engineering

0 likes · 15 min read

Large Model Application Development: Architecture, Lifecycle, and Prompt Engineering

DataFunSummit

Apr 9, 2024 · Artificial Intelligence

Knowledge Map for Large Model Application Development

This article outlines a comprehensive knowledge map for building large‑model applications, detailing a four‑layer technical architecture, development lifecycle, core elements such as prompt engineering and fine‑tuning, evaluation methods, and real‑world case studies across various AI use cases.

AI application developmentlarge language modelsmodel fine-tuning

0 likes · 12 min read

Knowledge Map for Large Model Application Development