Yeah, it will be short term pain, and I expect hate for AI to only continue to get worse. But I believe humans, as always, will adapt and create new jobs. It’ll be a new world so it’s hard to say exactly what those jobs will be — but there will always be work to be done.
GENERATIVE AI
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Game-changing AI releases anticipated amid industry competition
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From my perspective, he speaks like someone who knows game changing releases are coming soon But you’re probably right, there’s definitely some competitiveness there
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Cohere Named Fast Company Most Innovative Company 2024
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We’re honored to be named one of @FastCompany
’s Most Innovative Companies of 2024! AI holds immense potential for enterprises, and Cohere is committed to being a trusted partner to enable companies to move beyond proof of concept, and into production. -
Google Cloud and NVIDIA Deepen AI Development Partnership
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Build, scale, and manage #generativeAI applications with @googlecloud and NVIDIA’s deepened partnership for #AI development. #GTC24 https://
nvda.ws/4agqqVD -
Personalize Stable Diffusion Models with DreamBooth and Diffusers
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🚀 Blog-tastic Tuesdays 🚀https://t.co/EwjdNEOCul
— Satya Mallick (@LearnOpenCV) 19 mars 2024
Personalization of Stable Diffusion models is one of the greatest benefits of Generative AI. In our latest article, we use Dreambooth to personalize Stable Diffusion with the Hugging Face Diffusers library.#ai #computervision… pic.twitter.com/uUAqy7USmdBlog-tastic Tuesdays https://
learnopencv.com/dreambooth-usi
ng-diffusers/
… Personalization of Stable Diffusion models is one of the greatest benefits of Generative AI. In our latest article, we use Dreambooth to personalize Stable Diffusion with the Hugging Face Diffusers library. #ai #computervision -
Explore Models on Hugging Face and Share Your Creations
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Check out the models on Hugging Face and let us know where we can support you! We're eager to see what you build with them. (6/6)
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Yi Language Model: Full-Stack Development and Key Insights
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Final Thoughts: (5/6) In this report, we discuss the full-stack development of the Yi language model family. Key takeaways highlight the importance of data quantity and quality, along with our unique finetuning procedure outlined in the paper.
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Yi Vision Language Models: Architecture and Three-Stage Training Process
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Visional Language: (3/6) Earlier this year, we launched the Yi Vision Language models (Yi-VL-34B, Yi-VL-6B) with bilingual multimodal understanding and generation capabilities. Check out the architecture of the Yi-VL models and our three-stage training process.
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Yi Model Series Extended to 200K Long-Context Capability
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Long Context: (2/6) The long-context capability offered by the Yi model series (Yi-34B-200K and Yi-6B-200K) has gained immense traction from the community. Learn how we extended the Yi base model to 200K long-context through various methods outlined in the paper.