Honored to support Apple with our @diffuserslib code and Hub They built a heavily optimized Core ML version of SD that runs on Apple Silicon. And they think < 1s is within reach using distillation
Read the short blog post -> https://
hf.co/blog/diffusers
-coreml
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AI
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Apple optimizes Stable Diffusion for Silicon with Core ML
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Model Builders Platform Emerges as Third Major AI Infrastructure
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We’re maybe between cloud and models as #3 platform that model builders use to build and distribute models (like code builders use github to build and distribute code)
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Building Data Lakes with Snowflake: ETL Architecture Guide
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Builiding a Data Lake using Snowflake: This article was published as a part of the Data Science Blogathon. Introduction to Snowflake When we talk about the “doing” part of data engineering, people usually want to say something about ETL, like, “How is… https://
analyticsvidhya.com/blog/2022/10/b
uiliding-a-data-lake-using-snowflake/?utm_source=dlvr.it&utm_medium=twitter
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Six Cybersecurity Keys: Education, Culture, and Talent Development
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6 Keys for #Cybersecurity Excellent work! @mosescj58 #Education for all roles Foster Security 1st #culture Focus on #hiring & #development of best talent #reinvent @awscloud #partner @gvalan @mikeflache @iponline #DataScience @Xbond49 @Shi4Tech #AI #lowcode #IoT
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Acknowledgment of researchers for their collaborative work
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Thanks to researchers @michiyasunaga, @ArmenAgha
, @WeijiaShi2
, @jure
, @percyliang
, @ml_perception
, @LukeZettlemoyer
, @scottyih and the rest of the team for all their work on this! 4/4 -
RA-CM3 Scalable Modular Knowledge Integration Architecture
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RA-CM3 integrates knowledge in a more scalable & modular way compared to previous methods. It’s more resilient to long-tail or unseen knowledge which can help the growth & update of knowledge over time in real world settings. We’re excited for the possibilities it presents. 3/4
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RA-CM3 Model Outperforms Baselines with 70% Less Compute
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The RA-CM3 model significantly outperforms baseline multimodal models on both image & caption generation tasks, while using <30% of the compute of comparable models & exhibiting novel capabilities like knowledge-intensive image generation & multimodal in-context learning. 2/4
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Meta AI Introduces RA-CM3: Multimodal Model for Text and Image Generation
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New paper from our team at Meta AI. Retrieval-Augmented CM3 (RA-CM3) is the first multimodal model that can retrieve and generate mixtures of text and images — while also reducing training cost and model size. Now available on arXiv https://
arxiv.org/abs/2211.12561 1/4 -
Jasper AI Advances GPT Networks for User Complexity Levels
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With @JasperAI, we strive to dramatically advance AI work, including training GPT networks to fit AI outputs to all levels of end-user complexity and granularity. Read more here: https://
hubs.li/Q01tMGsK0 -
U.S. Steel Forges High-Tech Future at Mills Old and New
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U.S. Steel’s acquisition of Big River Steel hasn’t revolutionized ways of working at older facilities, but it has served as inspiration about what’s possible, says Kevin Burns of
@U_S_Steel
@IsabelleBiscuit
#DigitalTransformation #CIO https://
wsj.com/articles/u-s-s
teel-looks-to-forge-high-tech-future-at-mills-both-new-and-old-11669917727
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