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JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models paper page: Achieving human-like planning and control with multimodal observations in an open world is a key milestone for more functional generalist agents. Existing approaches can handle certain long-horizon tasks in an open world. However, they still struggle when the...

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AK

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141,481 Aufrufe • vor 3 Jahren •via X (Twitter)

Wissenschaft & TechnologieGaming
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10 Kommentare

Profilbild von Bodhisattwa Majumder
Bodhisattwa Majumdervor 3 Jahren

Continuous exploration and updates seem to be the way to beat the limited context for agents. Imagine struggling to fit one trajectory of 16K tokens but being able to fit 1000s with the help of a smart, persistent memory! Our new work:

Profilbild von Amplify with AI
Amplify with AIvor 3 Jahren

I would watch a live stream of AI playing Minecraft. Seeing it reason about tasks, especially you get higher up in the tech tree of Minecraft, would be interesting. I'm sure you’d learn a thing or two just watching it play haha

Profilbild von Anas Aldadi
Anas Aldadivor 3 Jahren

Mention the original tweet duh, he barely got any recognition for his hardwork

Profilbild von 鬼城之鬼
鬼城之鬼vor 3 Jahren

Oh ffs, is this what we are?

Profilbild von Emi
Emivor 3 Jahren

@jodemi_

Profilbild von Ajeya
Ajeyavor 3 Jahren

Amazing work! Keep pushing the boundaries of AI!

Profilbild von DongNan
DongNanvor 3 Jahren

Jais. Ai

Profilbild von Tommy D. Rossi
Tommy D. Rossivor 3 Jahren

Is this real-time?

Profilbild von MrDee@SOG🫡
MrDee@SOG🫡vor 3 Jahren

Bro they beat you to Jarvis @karpathy

Profilbild von Dwid Lee
Dwid Leevor 3 Jahren

@memdotai mem it

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