origin-brain/beat-ai
不玩晦涩不搞少数派的 AI 入门圣经，从学生到工程师都能轻松掌握。涵盖神经网络到大模型、顶层设计到微观原理、工程实现到算法基础。 学完后，大家能彻底看懂为什么下一 token 预测这个看似不起眼的能力可以改变世界，也能发现原来 AI 并没有想象中那么神秘、那么高不可攀。 Let's just beat it !
What it solves
BeatAI addresses the knowledge gap for developers and engineers building AI agents. It provides deep-dive technical insights into the complex challenges of modern AI, such as managing agent economics, observability, and the shift from simple prompt engineering to context engineering.
How it works
BeatAI functions as a curated knowledge hub that publishes comprehensive guides and technical articles. It covers the full lifecycle of AI development, from building Transformer models from scratch on local hardware to implementing production-grade observability, tracing, and evaluation frameworks for agentic systems.
Who it’s for
This resource is designed for software engineers, AI developers, and technical leads who are moving beyond basic AI implementation and need to understand the underlying mechanics, economic efficiency, and architectural patterns of agentic AI.
Highlights
- Practical guides on "Context Engineering" as a successor to prompt engineering.
- In-depth analysis of AI agent economics, including token accounting and routing.
- End-to-end tutorials on implementing observability and tracing for AI agents.
- First-principles walkthroughs of building Transformer components using PyTorch.
- Explorations of advanced topics like Mixture of Experts (MoE) models and self-training AI loops.
Related
- Project
- Project
- Project
- Project