Skip to content
English

Switch theme

Discover▾

Not sure where to start? This week’s hottest software, models and stacks in three minutes.

AI Apps▾

AI software people use: from assistants like ChatGPT to tools for coding, video and workflows, picked by purpose.

For Agents▾

Software for AI: tools that let your agent (Claude Code, Codex, Cursor…) browse, read docs, run code and remember.

Models▾

Choose models, estimate cost, self-host: prices, rankings, benchmarks, free tiers and compute.

Solutions▾

A goal or an error message? Ready-made stacks, steps and fixes by scenario.

Learn▾

A systematic course from zero to the frontier, with an algorithm library, must-read papers and tutorials.

Frontier▾

Daily AI news, weekly highlights, the latest papers and how AI is changing every discipline.

Transformers & LLM Principles

Scaling Laws and Emergence

How loss falls with parameters, data and compute, and what Chinchilla changed.

Advanced 15 min For: Researchers / Developers ✎ In progress

✎ This lesson is still being written. Below is the planned outline; it is not indexed by search engines yet.

What this lesson will cover

  1. Kaplan et al. power laws
  2. Compute-optimal training (Chinchilla)
  3. Emergent abilities and the debate
  4. Test-time compute scaling

Related AI news

Links go to the original publishers.

Part of these paths

③ Researcher Path: How Models Really Work

Data updated: Learn AI curriculum · Lesson news(UTC+8)