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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...

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codila

21,294 subscribers

18,426 次观看 • 2 个月前 •via X (Twitter)

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10 条评论

Chen 的头像
Chen2 个月前

SDK pain is too real

bodila 的头像
bodila2 个月前

BRILLIANT! all what you need now learn agents - this course and it doesn't matter if you're a beginner or a pro start wathcing rn thank you

codila 的头像
codila2 个月前

agree with all words man!

Money Bunny 的头像
Money Bunny2 个月前

Saving this for the weekend, finally a structured breakdown worth watching

codila 的头像
codila2 个月前

I'm so glad this is helpful to you, thank you!

FastFix AI 的头像
FastFix AI2 个月前

tokens go brrr apparently

Cryptoartmaster 的头像
Cryptoartmaster2 个月前

the shift from prompts to self-improving loop graphs is where engineering becomes autonomous scaling.

aishivam 的头像
aishivam2 个月前

From 0% to 100% in one hour just means we're going to speedrun a complete existential crisis about our careers

安叫兽|Bird🕊️ 🔶 BNB 的头像
安叫兽|Bird🕊️ 🔶 BNB2 个月前

一小时塞这么多，估计得边看边暂停了

Cong Thanh 的头像
Cong Thanh2 个月前

Nices

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codila

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