Shirley Kokane

[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

[Sachin Goyal @goyalsachin007]

1/Introducing T-MARS🚀 a simple data curation approach for web datasets used for training #CLIP. Beats SOTA zeroshot results on DataComp by 6.5%. Gains over #LAION *logarithmically* scale with data!
@pratyushmaini @zacharylipton @zicokolter @AdtRaghunathan
https://t.co/WHgbwhjTqp

[Sachin Goyal @goyalsachin007]

How to finetune CLIP without losing robustness to distribution shifts? We propose SoTA approach: Finetune Like You Pretrain (FLYP). Highest reported F1 score on WILDS-iWILDCam, strong results on ImageNet.@ananyaku, @sankalpgrg, @zicokolter, @AdtRaghunathan
https://t.co/UHE0K57qJO

[The Mint Stack @mint_stack]

Bringing you physical fashion sports collectible designed by @KiyaTomlin and backed by an NFT. Launching soon!! Grab yours during the launch.
#NFT#Fashion#Blockchain

[Thomas Anthopoulos @TDAnthopoulos]

PhD opportunities at KAUST, please RT: KAUST Discovery Doctoral Fellowship https://t.co/pRt6dEyQJt

[Shirley Kokane @KokaneShirley]

@SrividyaVempati Thank you!!

[Shirley Kokane @KokaneShirley]

Amidst the chaos our team has prototyped a solution which can help millions of lives!
#WHO #MinistryofHealth #HarshVardhan #Narendermodi

[Jayesh Mevada @mevjayesh]

Our Research team arrived with protocol to detect the COVID 19 rapidly. It has high potential to detect coronavirus in <1 hour and cost (< Rs 300/per test). We are going to make the entire protocol open-source to fight against it. #ResearcherfightagainstC19 #coronaupdatesindia