# Tsinghua's Multi-Agent AI Classroom, Anthropic's Context Engineering Playbook, and a 54 LLM-Architecture Gallery - 📚 The Tokenizer Edition #22

DevFeed: [Tsinghua's Multi-Agent AI Classroom, Anthropic's Context Engineering Playbook, and a 54 LLM-Architecture Gallery - 📚 The Tokenizer Edition #22](<https://devfeed.tech/articles/tsinghua-s-multi-agent-ai-classroom-anthropic-s-context-engineering-playbook-and-a-54-llm-architecture-gallery-the-tokenizer-edition-22-18348.md>)

Original publisher: [Read original article](<https://newsletter.artofsaience.com/p/tsinghuas-multi-agent-ai-classroom>)

Author: Sairam Sundaresan

Published: 2026-04-02T23:34:09Z

Content type: article

Language: en

Sources: [Gradient Ascent](<https://devfeed.tech/sources/gradient-ascent.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [anthropic](<https://devfeed.tech/topics/anthropic.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [interactive storytelling](<https://devfeed.tech/topics/interactive-storytelling.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-research](<https://devfeed.tech/tags/ai-research.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [gallery](<https://devfeed.tech/tags/gallery.md>), [llm](<https://devfeed.tech/tags/llm.md>)

## AI overview

The Tokenizer Edition #22 curates AI and machine learning resources, including papers on real-time video generation, video world models, and task-aware sampling; videos on LLM architectures, KV-cache compression, and Claude Code; articles on AI interfaces, benchmarks, and context management; agent tools; and learning resources such as Tsinghua's multi-agent AI classroom.

## Source excerpt

This week's most valuable AI resources