Researchers from Beihang University and Tsinghua University in China have developed TinyLLaVA, a groundbreaking machine learning framework that outperforms larger models with its smaller, multimodal framework. Tinygrad, another notable framework, is praised for its simplicity, portability, and efficiency, offering an alternative to established frameworks like PyTorch and TensorFlow. Tinygrad distinguishes itself by providing free compute to open-source machine learning projects, supported by $5M in funding and a profitable model. Open projects can apply via DM for ssh access to a tinybox today. The initiative encourages open training in machine learning, with the option for closed projects to purchase additional compute resources, known as tinyboxes.
Unlike PyTorch and TensorFlow, @__tinygrad__ offers free compute to open projects. We have $5M in funding and are profitable. I want open training ML to have all the compute it needs. Replications fine, not only research. Open = free compute. Closed = you buy tinyboxes. https://t.co/SmsrwtmBQr
Unlike PyTorch and TensorFlow, @__tinygrad__ has usage incentives. We have $5M in funding and are profitable. I want to make sure open training ML has all the compute it needs. Replications fine, doesn't have to be research. Open = free compute. Closed = you buy tinyboxes. https://t.co/SmsrwtmBQr
If anyone has an ML project that: * is open source * uses tinygrad * is ready for more compute We can get you ssh to tinybox today as a grant. DMs open to apply.
If anyone has an ML project that: * is open source * uses tinygrad * is ready for more compute We can get you on a tinybox today. DMs open
And π§ @__tinygrad__ really stands out among all the Deep-Learning frameworks - mainly due to its simplicity, portability, and efficiency, as an alternative to Pytorch or Tensorflow The core idea is that, it has smaller (compared to Pytorch) number of basic lego blocks andβ¦ https://t.co/5Wc18SMBKE https://t.co/aSClZgZf3H
Meet TinyLLaVA: The Game-Changer in Machine Learning with Smaller Multimodal Frameworks Outperforming Larger Models Quick read: https://t.co/vJ7EnhfCLR Researchers from Beihang University and Tsinghua University in China have introduced TinyLLaVA, a novel framework that⦠https://t.co/YzMnTeuusH