#大模型落地
8 related articles
AI Agent from 0 to 1: Breaking Down the Underlying Logic and Four Major Implementation Categories
Breaking down AI Agent logic from native LLMs, prompt engineering, and RAG to Agents, using a translator analogy to explain four core capabilities and four agent categories with real-world scenarios, helping beginners build systematic understanding.
Mastering AI Agent Development: From Underlying Logic to Enterprise-Level Practice
From native large models and prompt engineering to RAG and Agents, this article maps the four stages of enterprise LLM adoption, explains the four core problems Agents solve and four mainstream agent types, helping you build an actionable AI Agent development framework.
FDE Frontend Deployment Engineer: Entry Path and Seven Enterprise-Level Case Studies in the AI Era
FDE frontend deployment engineers are an emerging role in the AI era, with fresh graduates earning up to 35,000 RMB monthly. This article outlines the four-step entry path from a Bilibili tutorial, seven enterprise-level project scenarios, and where the real opportunities differ from course marketing.
SurplusLink AI: Reviving Surplus Bakery Inventory with Open-Source LLMs on a B2B Platform
SurplusLink AI is a B2B marketplace prototype that uses open-source LLMs to match surplus bakery inventory with retailer demand. This article analyzes its natural language extraction, rules-based matching, inventory transaction consistency, and 2% two-sided commission model, and discusses the boundaries of open-weight models in vertical businesses.
The Most Comprehensive AI Agent Tutorial on Bilibili: A Step-by-Step Guide to Building Enterprise-Grade Agents from Scratch
A complete guide to the Bilibili AI Agent tutorial: the four-stage evolution from raw large models to prompt engineering, RAG, and Agents, plus the four core capabilities, four agent categories, and enterprise deployment path.
FDE (Forward Deployed Engineer): The Human Bridge for AI Implementation — A Beginner's Guide
What is an FDE (Forward Deployed Engineer)? This article explains this new role originating from Palantir, the difference between FDEs and regular engineers, how OpenAI and Anthropic are deploying them, and the skills and interview prep needed to break into this field from zero.
AIGC in Practice: A Complete Guide from Content Generation to RAG and AI Agent Development
A systematic breakdown of two AIGC deployment tracks: 2C content generation (text/image/video monetization) and 2B enterprise apps (RAG, AI Agent, LLM integration), with real-world case studies.
TutorialsEnterprise RAG Implementation: Architecture Principles and Production-Grade Optimization Guide
Complete guide to enterprise RAG architecture covering data indexing, vectorization, and retrieval optimization. Practical insights on chunking strategies, hybrid retrieval, and hallucination control for production-grade LLM applications.