The best models could do 6 months ago. pic.twitter.com/Kg5iAczkaS
— Ethan Mollick (@emollick) 27 juillet 2025
The best models could do 6 months ago.
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The best models could do 6 months ago. pic.twitter.com/Kg5iAczkaS
— Ethan Mollick (@emollick) 27 juillet 2025
The best models could do 6 months ago.
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Generative AI’s Unprecedented Adoption Cycle
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @lexfridman @sama @kaifulee @ID_AA_Carmack @karpathy @2morrowknight @ylecun

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And those were the 5 popular LLM fine-tuning. Here's the visual again for your reference

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1) LoRA – Add two low-rank trainable matrices, A and B, alongside weight matrices.
– Instead of fine-tuning W, adjust the updates in these low-rank matrices. Even for the largest of LLMs, LoRA matrices take up a few MBs of memory. Check this

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Traditional fine‑tuning is impractical for LLMs (billions of params; 100s GB). Since this kind of computing isn't accessible to everyone, parameter-efficient finetuning (PEFT) came into existence. Today, we’ll cover the top 5 PEFT techniques, step by step.

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Admittedly not the best example—just the first that popped up in search. Here’s one from less than a month ago, so presumably using 4o or better:
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L’ancien patron de @Google le célèbre @ericschmidt vient de faire un ensemble de prédictions bouleversantes qui enverront @sandrousseau et @JMJancovici à la retraite La génération @Alex_Tsico et @raphaeldoan va prendre le pouvoir •La super-intelligence arrivera d’ici 10 ans
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Estos vídeos son sorprendentes. Crees que pueden ser una ventana al futuro proyectada por la inteligencia artificial? pic.twitter.com/E86bfouawp
— Juan Merodio (@juanmerodio) 27 juillet 2025
Estos vídeos son sorprendentes. Crees que pueden ser una ventana al futuro proyectada por la inteligencia artificial?
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Of course, it also raises big questions:
•How will this reshape workplace culture?
•Could it reduce "Zoom fatigue" or just evolve it?
•And who gets access first — enterprise giants or everyday users?
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This could unlock not only more productive meetings, but also more human ones, where empathy, subtle cues, and non-verbal communication are no longer lost in translation.