Siemens and Microsoft drive industrial productivity with generative AI
#AI #AIio #BigData #ML #NLU #Futureofwork @chrismessina @ChristopherIsak @davidwkenny @debashis_dutta @petitegeek @fabiomoioli @GaryMarcus @asokan_telecom http://
ow.ly/cXle30svSsf
GENERATIVE AI
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Siemens and Microsoft Drive Industrial Productivity with Generative AI
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Google Imagen Editor: Text-Guided Image Editing Tool
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Stop by the #CVPR2023 Google booth at 12:30pm today to speak with @wangsu_googleai about Imagen Editor, a novel tool for text-guided image editing, and to learn about EditBench, a benchmark for quality assessment of image-text alignment.
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French Watchdog Decision Against Criteo Under Appeal
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Here’s the 8-K that Criteo filed with the SEC today about the French watchdog’s decision, which it plans to appeal. https://
sec.gov/Archives/edgar
/data/1576427/000157642723000095/crto-20230621.htm
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CEO discusses future of AI with custom LLMs and open source
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Our CEO @andrewdfeldman joins @bigdata on
#TheDataExchangePod to discuss the future of #AI with custom #LLMs, Cerebras-GPT and how open source, efficient → the new era of AI Tune in here: -
Stable Diffusion XL Base Model 0.9 Released on Hugging Face
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HF base model: https://
huggingface.co/stabilityai/st
able-diffusion-xl-base-0.9
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LLaMA Innovation: Quantization and LoRA Techniques for Developers
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But that sometimes breeds innovation—like in the case of LLaMA. And scrappy developers without access to massive training clusters like Google or OpenAI have to find ways around the problem. That's led to the widespread adoption of techniques like quantization and LoRA.
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Startups Lower ML Model Training and Serving Barriers
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As the cultures change here—at Meta or otherwise—the net beneficiary is likely to be the startups. Companies like MosaicML/Modal/Anyscale are trying to drop the barrier to training and serving ML models, and a lot of very cool research is being done on compact models.
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ML Challenges Drive Development of Hyped Technologies
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They join those organizations with the hopes of getting direct exposure to some of the most difficult problems in ML, like reinforcement learning. But most of those problems are now directly applicable to one of the most-hyped technologies in decades.
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Stability AI Launches SDXL 0.9 Advanced Image Generation Model
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Stability AI launches SDXL 0.9: A Leap Forward in AI Image Generation
— AK (@_akhaliq) 22 juin 2023
blog: https://t.co/eS5N13WHWK
Today, Stability AI announces SDXL 0.9, the most advanced development in the Stable Diffusion text-to-image suite of models. Following the successful release of Stable Diffusion… pic.twitter.com/b31wqZensSStability AI launches SDXL 0.9: A Leap Forward in AI Image Generation blog: https://
stability.ai/blog/sdxl-09-s
table-diffusion
… Today, Stability AI announces SDXL 0.9, the most advanced development in the Stable Diffusion text-to-image suite of models. Following the successful release of Stable Diffusion -
SDXL 0.9 Upgrade Shows Improved Hand Detail Generation
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View the upgrade in definition between SDXL beta (left) and SDXL 0.9 in these examples: Greater detail with human hands