AI Infrastructure: The Real Engine Behind AI Agents
Struggling with AI projects? The problem isn't your models, it's your AI infrastructure. Learn why data silos & lag hold you back and how to build a better f...
Pingxingjilu
Share deep practical experience, hands-on techniques, and cognitive insights about Large Language Models. We focus on actionable methods and real project experience beyond just theory.
Real Case Studies: LLM application experience from actual projects
Practical Techniques: Ready-to-use prompt engineering and optimization methods
Cognitive Insights: Cutting-edge thinking and deep industry analysis
Practical Focus, No Empty Talk
Every piece of content comes from real project experience, every technique is battle-tested.
Share real problems and solutions from actual projects, helping you avoid common pitfalls and quickly master LLM application development.
Provide ready-to-use prompt templates, optimization strategies, and best practices to immediately boost your productivity.
Continuously track the latest LLM developments, sharing frontier insights and trend analysis to help you maintain competitive advantage.
Get the latest LLM practical experience and operational techniques.
Struggling with AI projects? The problem isn't your models, it's your AI infrastructure. Learn why data silos & lag hold you back and how to build a better f...
Pingxingjilu
Learn to install and use LLaMA Factory to fine-tune hundreds of LLMs on your local machine. This guide covers CUDA setup, installation, and WebUI usage.
Number in the Moutain
A deep dive into the Transformer architecture, the engine behind modern LLMs. Understand self-attention, encoders, decoders, and how they work together.
Alex Carter
A comprehensive guide to using Ollama for running large language models like Llama 3 and Mistral on your local machine. Learn installation, commands, and how to create custom models.
Jordan Lee
Discover what Large Language Models (LLMs) are and how they power Generative AI. Learn about pre-training, fine-tuning, and the Transformer architecture.
hhmy27
Explore the shift to separated architectures for RL post-training of LLMs. Learn how systems like AsyncFlow & TransferQueue solve data orchestration challenges.
Little Boji
Join thousands of developers who are already leveraging our practical insights to build better LLM applications.