TianLan001

[TianLan001 @TLan001]

@AnnieForTruth I guess there are two bodies

[TianLan001 @TLan001]

@theliamnissan I don't think the future funding has anything to do with this forecast

[TianLan001 @TLan001]

@evahugsyou @bfraser747 I think there's a word called illegal in "illegal immigrants"

[TianLan001 @TLan001]

@PeterDiamandis Solar panels themselves are big pollutants, besides, if solar is all consumed by electricity instead of its natural heat, who knows what is going to happen because it is way different from what it's natural cycle

[TianLan001 @TLan001]

@GlobeEyeNews I think this is fake

[TianLan001 @TLan001]

@josephclnexp @MarcLobliner Then why you need a gov insured passport to travel abroad?

[TianLan001 @TLan001]

@Apis_Bicornis @oroborous Really? That is because China depends on EU to fight with US, put another way, if there is no US, EU and will be fucked

[TianLan001 @TLan001]

@oroborous If you defend Europe, why you stand by China

[TianLan001 @TLan001]

@SR72SistaSoulja @elonmusk You are such an idealist

[TianLan001 @TLan001]

@deedydas @Cloudwatch199 No sir

[TianLan001 @TLan001]

Proud to contribute to this amazing project.

[Salesforce AI Research @SFResearch]

Introducing the full xLAM family, our groundbreaking suite of Large Action Models! 🚀 From the 'Tiny Giant' to industrial powerhouses, xLAM is revolutionizing AI efficiency! #AIResearch #AIEfficiency

🤗 Hugging Face Collection: https://t.co/sA6uZLyscI
🤩 Research Blog https://t.co/ufofa43YpM
🗞️ Press Release: https://t.co/As3ShLPkpm

Meet the family:
• xLAM-1B / TINY: Our 1B parameter marvel, ideal for on-device AI. Outperforms larger models despite its compact size
• xLAM-7B / SMALL: Perfect for swift academic exploration with limited GPU resources.
• xLAM-8x7B / MEDIUM: Mixture-of-experts model balancing latency, resources, and performance for industrial applications.
• xLAM-8x22B / LARGE: Our large-scale model for optimal performance in high-resource environments.

🎉 Huge congrats to the team of AI scientists who brought xLAM series to life!
Zuxin Liu @LiuZuxin
Shirley Kokane @KokaneShirley
Ming Zhu @ming_zhu0527
Tian Lan @TLan001
Jianguo Zhang @JianguoZhang3
Thai Hoang @TeeH912.
Caiming Xiong @CaimingXiong
Silvio Savarese @silviocinguetta

[Salesforce AI Research @SFResearch]

Introducing the full xLAM family, our groundbreaking suite of Large Action Models! 🚀 From the 'Tiny Giant' to industrial powerhouses, xLAM is revolutionizing AI efficiency! #AIResearch #AIEfficiency

🤗 Hugging Face Collection: https://t.co/sA6uZLyscI
🤩 Research Blog https://t.co/ufofa43YpM
🗞️ Press Release: https://t.co/As3ShLPkpm

Meet the family:
• xLAM-1B / TINY: Our 1B parameter marvel, ideal for on-device AI. Outperforms larger models despite its compact size
• xLAM-7B / SMALL: Perfect for swift academic exploration with limited GPU resources.
• xLAM-8x7B / MEDIUM: Mixture-of-experts model balancing latency, resources, and performance for industrial applications.
• xLAM-8x22B / LARGE: Our large-scale model for optimal performance in high-resource environments.

🎉 Huge congrats to the team of AI scientists who brought xLAM series to life!
Zuxin Liu @LiuZuxin
Shirley Kokane @KokaneShirley
Ming Zhu @ming_zhu0527
Tian Lan @TLan001
Jianguo Zhang @JianguoZhang3
Thai Hoang @TeeH912.
Caiming Xiong @CaimingXiong
Silvio Savarese @silviocinguetta

[Deep_In_Depth @Deep_In_Depth]

Enabling high throughput deep reinforcement learning with first principles to investigate catalytic reaction mechanisms - Nature Communications #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #NeuroMorphic #Robotics https://t.co/5U98btK7lI