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.
AI
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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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Meta Refocuses on Commercial Products, Cuts Bio Research
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Case in point, the WSJ over the weekend published a piece on how Meta is refocusing its efforts to serve commercial products. My understanding is some of its more "out there" projects will be facing scrutiny. Its bio research team, for example, is one I've heard was impacted.
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AI Hype Reshapes Research Talent Competition at Big Tech
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The hype around AI products is quickly changing the way research divisions work within larger orgs. Companies like Meta and Google have spent the last decade wooing some of the smartest minds in machine learning out of academia with the promise of working on cutting-edge tech.
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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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LinkedIn Scam Alert: How Fraudsters Target Users Online
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Me acaban de intentar estafar a través de Linkedin En este vídeo te comparto cómo han intentado hacerlo para que no te pase a ti y estés alerta https://
youtu.be/waXbLXKOT64 -
Blocking ML and AI researchers is closed-minded and counterproductive
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No, not that I’m aware. But yeah, arbitrarily blocking ML & AI researchers is not a good look and quite close-minded. I honestly don’t want to waste time on people who behave like that.
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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
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Inflection Announces Inflection-1 LLM Outperforming GPT-3.5
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We’re proud to announce Inflection-1, the best-in-class LLM developed at Inflection! Inflection-1, which powers http://
Pi.ai, outperforms GPT-3.5, Chinchilla, and LLaMA on a number of academic benchmarks. More details in our technical memo: