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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... show more

codila

18,257 subscribers

18,224 Aufrufe • vor 8 Tagen •via X (Twitter)

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10 Kommentare

Profilbild von Chen

Chenvor 8 Tagen

SDK pain is too real

Profilbild von bodila

bodilavor 8 Tagen

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

Profilbild von codila

codilavor 8 Tagen

agree with all words man!

Profilbild von Money Bunny

Money Bunnyvor 7 Tagen

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

Profilbild von codila

codilavor 7 Tagen

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

Profilbild von FastFix AI

FastFix AIvor 8 Tagen

tokens go brrr apparently

Profilbild von Cryptoartmaster

Cryptoartmastervor 8 Tagen

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

Profilbild von aishivam

aishivamvor 8 Tagen

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

Profilbild von 安叫兽|Bird🕊️ 🔶 BNB

安叫兽|Bird🕊️ 🔶 BNBvor 8 Tagen

一小时塞这么多，估计得边看边暂停了

Profilbild von Cong Thanh

Cong Thanhvor 7 Tagen

Nices

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