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Don't waste 2 years figuring out how AI agents actually work. ex. Anthropic & Google engineers at Stanford just dropped a 1-hour lecture on self-improving AI agents: • 00:00 - Introduction to self-learning AI systems • 31:22 - inside a LLM: self-correction, backtracking • 42:24 - goal → loops... show more

Movez

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40,448 просмотров • 1 месяц назад •via X (Twitter)

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Don't waste 2 years learning to build self-improving AI agents. Stanford just dropped a 3 hour course on building AI agents from scratch. • 00:00 - self-improving AI agent basics • 1:07:24 - multi-step reasoning in AI agents • 2:22:04 - AI agents learning from feedback Anthropic pays $750,000/year to AI engineers who master this exact knowledge of building AI agents. Bookmark this & watch, no matter what. It’ll be the most productive start for your week. Then read article below.

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Stanford Professors just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 0:35 - LLM from scratch 30% → 17:56 - how to actually prompt to AI models 65% → 36:09 - building self-improving loops and agent teams 100% → 50:36 - 100% automation system with graphs This 1-hour lecture replaces 10 hours of other $1000 AI courses watch this brilliant course, build the full system - then read the architecture below ↓

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