#Hugging Face
432 related articles
·4 min
Anthropic Dynamic Workflows Explained: When to Use Them and Pitfalls to Avoid
Deep dive into Anthropic Dynamic Workflows: core mechanisms, differences from single Agent and Sub-Agent patterns, and a decision tree for when to use them vs. when to avoid burning tokens.
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·3 min
GLM-5.2 Deep Dive: Million-Token Context, MIT Open Source & Full-Stack Domestic Chip Training
Deep dive into Zhipu's GLM-5.2: truly usable 1M-token context, MIT open-source strategy, full-stack Huawei Ascend training, and how it compares to Claude Opus. Includes benchmarks, use cases & pricing.
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·4 min
Llama.cpp Windows Local Deployment Guide: Run LLMs in Three Steps Without Compiling
Step-by-step guide to deploying Llama.cpp on Windows without compiling. Download pre-built packages, configure CUDA, and run GGUF quantized models locally with GPU acceleration and web UI in three simple steps.
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·4 min
AI + Java Backend Learning Roadmap: Four Stages from CRUD to Senior AI Engineer
A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.
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·4 min
Local Deployment of Claude Code: Principles and Practical Guide for Three Approaches
A detailed guide to locally deploying Claude Code with three approaches (LM Studio, Ollama, vLLM), covering architecture, protocol translation, hardware selection, and model recommendations.
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·3 min
Complete Guide to LangChain 0.3: Module Architecture & Core Development in Practice
A deep dive into LangChain 0.3's module architecture, message abstraction, prompt templates, output parsers, LCEL chains, LangSmith tracing, and LangGraph for mastering LLM application development.
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·4 min
AI Builds Mortal Kombat from Scratch: Claude vs. Codex vs. Gemini — A Three-Way Showdown
Three top AIs build Mortal Kombat from scratch: Claude Opus, GPT Codex, and Gemini tested across code generation, gameplay control, and Godot engine integration.
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·3 min
Two Minute Papers: The Gold Standard for Making Cutting-Edge AI Research Accessible
An in-depth look at how Two Minute Papers explains cutting-edge AI research in two minutes, covering Károly's methodology, topics, and lessons for science communicators.
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·3 min
Deploying a Multimodal AI Agent Locally on a 3080Ti: VRAM Management and a Deep Dive into All Five Modules
A detailed guide to deploying a multimodal AI Agent on a 3080Ti with 12GB VRAM, covering LLM, STT, TTS, image and video generation module selection, dynamic VRAM loading, and real-world performance.
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·3 min
AI Large Language Model Learning Roadmap: A Systematic Path from Zero to Project Implementation
A detailed AI LLM learning roadmap covering Transformer architecture, Prompt Engineering, RAG, Agent development, model fine-tuning & deployment, with enterprise project guides.
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·3 min
5 Ways to Deploy LLMs Locally: From Getting Started to Production
A complete guide to 5 local LLM deployment methods: LlamaCPP, Ollama, LM Studio, vLLM/SGLang, and MLX-LM — from personal dev to production environments.
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·3 min
AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning
Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.
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·2 min
DiffusionGemma: Google's Open-Source Diffusion Language Model Exceeding 500 Tokens/s
Google releases DiffusionGemma, an open-source diffusion language model with Apache 2.0 license. The 26B-parameter MoE model achieves over 500 tokens/s in real-world tests.
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·2 min
Anthropic Reverses Controversial Policy of Secretly Throttling AI Researchers Using Claude
Anthropic reverses its controversial policy of secretly throttling Claude Fable/Mythos responses to frontier LLM development requests after community backlash, raising critical questions about AI transparency.
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·3 min
Python Complete Tutorial for Beginners (568 Episodes): In-Depth Course Structure Analysis and Study Tips
In-depth analysis of a 568-episode Python beginner tutorial on Bilibili, covering course structure, strengths, weaknesses, and effective study tips for beginners.
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·3 min
AI Large Language Model Learning Roadmap for Beginners: A Complete Plan from Basics to Hands-On Practice
A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.
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·4 min
AI Engineer Job Search: The Capability Leap from Demo to Production System
AI job demand is surging but companies can't find qualified candidates. Learn the 3 core skills—advanced RAG, local model deployment, and full-stack monitoring—to leap from demo builder to production engineer.
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·2 min
Chaos in the AI Training Industry: A Deep Dive into Clickbait and the Instructor Shortage Crisis
An AI training instructor's candid self-disclosure reveals clickbait practices, instructor shortages, and traffic anxiety in China's booming AI training industry, with tips for learners.
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·2 min
The Golden Age of the Early Internet: What Did We Really Lose?
From GeoCities homepages to algorithmic filter bubbles, the early internet's spirit of openness and creativity is fading. Can the AI era bring it back?
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·2 min
June 2 AI Industry Roundup: NVIDIA's 550B Model, xAI's Coding Model, and More Major Releases
June 2, 2025 AI roundup: NVIDIA's 550B Nimitron 3 Ultra, xAI Composer 2.5, Anthropic & ZhiPu IPOs, OpenAI's agentic OS prototype, and key advances in agents, compute infrastructure, and open source.
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