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【Costumizable Vtuber Model】-Model JK Finally done!Releasing this weekend with updates! Heads up—— 𖥔 We are planning to date the price of the model 【maid .V1】to $45USD this weekend. (you can get two models MAID+JK) If you bought the 【maid.v1】,you will get the 【JK】for fee. 𖥔【JK】can be bought alone,and the...

42,899 просмотров • 1 год назад •via X (Twitter)

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Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.

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164,162 просмотров • 2 лет назад

📢 Official Announcement: LizMeta Release Date! The final release date for the LizMeta Customizable VTuber Model is set for January 8th, 2026! 🗓️ Price: $ 129 USD 💰 🎁 Special Giveaway! We are selecting 15 lucky winners for a 50% OFF discount! 🥳 How to enter: RT (Retweet) + Follow + Comment! 🔄💬 Ends on the release day! ⏳ 🙏 Our Sincere Apology We are truly sorry, but creating this customizable model turned out to be much more complex than we initially thought. 😔 We originally planned to release it by the end of December. We listened to your feedback in the comments and decided to add many new features. 🛠️ However, we didn't expect this to cause our modeling software to crash frequently, which slowed our progress significantly. 💥📉 BUT!! 🎉 The good news is that we have finally solved all the technical issues! ✅ While this unavoidable delay is something we deeply regret, we are confident the final product will be worth the wait. (Why a discount instead of a free model? We wanted to make it up to you, but we chose a discount instead of a free model to prevent the risk of scalping and reselling. 🙏) ✨ What's Next? Until the release date, we will keep you updated on our progress! 📢 We can already see many of you are excited about the clothing options! 👗👔 Our wardrobe system features countless combinations, and we are currently working hard to test everything to perfection. 🔬 Thank you for your endless patience and support! ❤️ #LizMetaCustomizableVtuber #vtuber #Live2D

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175,151 просмотров • 7 месяцев назад

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.

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43,772 просмотров • 3 дней назад