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danielhanchen 
posted an update 1 day ago
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3124
We collaborated with Hugging Face to enable you to train MoE models 12× faster with 35% less VRAM via our new Triton kernels (no accuracy loss). 🤗

Train gpt-oss locally on 12.8GB VRAM with our free notebooks: https://unsloth.ai/docs/new/faster-moe
imnotkitty 
posted an update 2 days ago
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2263
Made this with ByteDance's Seedance 2.0
It's crazyyyyyy🔥🔥🔥
paasthaamz 
posted an update 2 days ago
MonsterMMORPG 
posted an update 1 day ago
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2182
SeedVR2 and FlashVSR+ Studio Level Image and Video Upscaler Pro Released

Tutorial video : https://www.youtube.com/watch?v=bPWsg8DREiM

📂 Resources & Links:

💻 SECourses Ultimate Video and Image Upscaler Pro Download Link : [ https://www.patreon.com/posts/Upscaler-Studio-Pro-150202809 ]

🚆 Requirements Tutorial : https://youtu.be/DrhUHnYfwC0

🛠️ Requirements Written Post : [ https://www.patreon.com/posts/Windows-AI-Requirements-Setup-Guide-111553210 ]

👋 SECourses Discord Channel for 7/24 Support: [ https://bit.ly/SECoursesDiscord ]

It has been long waited to have a studio level video and image upscaler app. Today we have publishing the version 1.0 of SECourses Ultimate Video and Image Upscaler Pro. It is supporting SeedVR2, FlashVSR+, Gan based upscalers, RIFE frame interpolation, full queue system, full batch folder processing, scene / chunked based processing and many more. It is fully working on every cloud and consumer GPUs like RTX 2000, 3000, 4000, 5000 series and H100, H200, B200, RTX PRO 6000. We are installing app with latest Torch and CUDA versions atm all fully automatic with pre-compiled libraries. Even Torch compile is fully and automatically working.

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MikeDoes 
posted an update about 24 hours ago
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2465
Can you teach a giant like Google's Gemini to protect user privacy? A new step-by-step guide shows that the answer is a resounding "yes."

While powerful, large language models aren't specialized for privacy tasks. This tutorial by Analytics Vidhya walks through how to fine-tune Gemini into a dedicated tool for PII anonymization.

To teach the model this critical skill, the author needed a robust dataset with thousands of clear 'before' and 'after' examples.

We're thrilled they chose the Ai4Privacy pii-masking-200k dataset for this task. Our data provided the high-quality, paired examples of masked and unmasked text necessary to effectively train Gemini to identify and hide sensitive information accurately.

This is a perfect example of how the community can use open-source data to add a crucial layer of safety to the world's most powerful models. Great work!

🔗 Check out the full tutorial here: https://www.analyticsvidhya.com/blog/2024/03/guide-to-fine-tuning-gemini-for-masking-pii-data/

🚀 Stay updated on the latest in privacy-preserving AI—follow us on LinkedIn: https://www.linkedin.com/company/ai4privacy/posts/

#DataPrivacy #AI #LLM #FineTuning #Anonymization #GoogleGemini #Ai4Privacy #World's largest open privacy masking dataset
umarbutler 
posted an update about 5 hours ago
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349
What happens when you annotate, extract, and disambiguate every entity mentioned in the longest U.S. Supreme Court decision in history? What if you then linked those entities to each other and visualized it as a network?

This is the result of enriching all 241 pages and 111,267 words of Dred Scott v. Sandford (1857) with Kanon 2 Enricher in less than ten seconds at the cost of 47 cents.

Dred Scott v. Sandford is the longest U.S. Supreme Court decision by far, and has variously been called "the worst Supreme Court decision ever" and "the Court's greatest self-inflicted wound" due to its denial of the rights of African Americans.

Thanks to Kanon 2 Enricher, we now also know that the case contains 950 numbered paragraphs, 6 footnotes, 178 people mentioned 1,340 times, 99 locations mentioned 1,294 times, and 298 external documents referenced 940 times.

For an American case, there are a decent number of references to British precedents (27 to be exact), including the Magna Carta (¶ 928).

Surprisingly though, the Magna Carta is not the oldest citation referenced. That would be the Institutes of Justinian (¶ 315), dated around 533 CE.

The oldest city mentioned is Rome (founded 753 BCE) (¶ 311), the oldest person is Justinian (born 527 CE) (¶ 314), and the oldest year referenced is 1371, when 'Charles V of France exempted all the inhabitants of Paris from serfdom' (¶ 370).

All this information and more was extracted in 9 seconds. That's how powerful Kanon 2 Enricher, my latest LLM for document enrichment and hierarchical graphitization, is. If you'd like to play with it yourself now that it's available in closed beta, you can apply to the Isaacus Beta Program here: https://isaacus.com/beta.
frumu 
posted an update 2 days ago
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202
I’m looking for Mac/Windows/Linux testers and contributors for Tandem, an open-source, local-first AI desktop workspace.

Runs on your machine (works great with local LLMs like Ollama / LM Studio)

Built with Tauri + a sidecar runtime, so it’s a single install

Focused on making agent workflows usable for non-developers (approvals + undo)

If you’re willing to test installs (especially macOS) or poke at bugs, I’d really appreciate it. Repo: https://github.com/frumu-ai/tandem
alexnasa 
posted an update 3 days ago
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1962
Now with extra functionality at the same LTX-2 HF Space, you can now add also your last frame along side your first frame to guide the generated videos by choosing our frame interpolation mode...

Try it out: alexnasa/ltx-2-TURBO
AdinaY 
posted an update about 17 hours ago
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351
Ming-flash-omni 2.0 🚀 New open omni-MLLM released by Ant Group

inclusionAI/Ming-flash-omni-2.0

✨ MIT license
✨ MoE - 100B/6B active
✨ Zero-shot voice cloning + controllable audio
✨ Fine-grained visual knowledge grounding
AdinaY 
posted an update 2 days ago
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466
LLaDA 2.1 is out 🔥 A new series of MoE diffusion language model released by AntGroup

inclusionAI/LLaDA2.1-mini
inclusionAI/LLaDA2.1-flash

✨LLaDA2.1-mini: 16B - Apache2.0
✨LLaDA2.1-flash: 100B - Apache2.0
✨Both delivers editable generation, RL-trained diffusion reasoning and fast inference
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