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Junlin Han
@han_junlin
Multimodal pre-training and post-training. final-year PhD student at Meta FAIR @AIatMeta and Oxford @OxfordTVG
London, England
junlinhan.github.io
Joined July 2020
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  • user avatar
    Junlin Han
    @han_junlin
    Jul 3
    best lecture/tutorial in native mllms!!!
    user avatar
    Victoria X Lin
    @VictoriaLinML
    Jul 3
    The video of my Stanford CS25 guest lecture, From Language Models to Native Multimodal Intelligence, is now online. I discussed how the core ideas behind LLMs has shaped multimodal AI, from architectures to training paradigms and scaling, and where the next challenges may lie.
  • user avatar
    Junlin Han
    @han_junlin
    Jun 24
    💯 Very nice post, definitely worth reading!
    user avatar
    Nan Liu
    @nanliuuu
    Jun 24
    Part 2: Is 3D really necessary to understand the world? IMO, probably not. I always hear people say that since we live in a 3D world, we must use explicit 3D geometry. But I think we often confuse generating the world with understanding the world. Real understanding can actually
  • user avatar
    Junlin Han
    @han_junlin
    Mar 10
    AMI was founded by amazing researchers I have deeply respected since the very beginning of my research career. They have built fundemental things: before LLM era (SSL, JEPA, moco, mae, barlow twins, arch from LeNet to more recently resnext, convnext...), during LLM era (gpt,
    user avatar
    Saining Xie
    AMI Labs
    @sainingxie
    Mar 10
    i’m joining forces with @ylecun and an incredible group of people to start AMI Labs @amilabs. AMI isn’t a conventional lab. we don’t intend to become one. a lot to say about why this moment matters, but for now we’re heads down building. join us: amilabs.xyz

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