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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

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18,224 просмотров • 8 дней назад •via X (Twitter)

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Комментарии: 10

Фото профиля Chen
Chen8 дней назад

SDK pain is too real

Фото профиля bodila
bodila8 дней назад

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

Фото профиля codila
codila8 дней назад

agree with all words man!

Фото профиля Money Bunny
Money Bunny7 дней назад

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

Фото профиля codila
codila7 дней назад

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

Фото профиля FastFix AI
FastFix AI8 дней назад

tokens go brrr apparently

Фото профиля Cryptoartmaster
Cryptoartmaster8 дней назад

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

Фото профиля aishivam
aishivam8 дней назад

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

Фото профиля 安叫兽|Bird🕊️ 🔶 BNB
安叫兽|Bird🕊️ 🔶 BNB8 дней назад

一小时塞这么多，估计得边看边暂停了

Фото профиля Cong Thanh
Cong Thanh7 дней назад

Nices

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