BAAI/MTVCraft
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Yatharth Sharma
YaTharThShaRma999
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chintankp's
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12 days ago
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We are incredibly proud to be among the top contributors to the AI community with our leading open models and permissive licensed datasets for reasoning, Physical AI, speech, vision, and more.
See huggingface.co/spaces/cfahlgren1/org-activity-heatmap
Download the latest models and datasets from huggingface.co/nvidia
See huggingface.co/spaces/cfahlgren1/org-activity-heatmap
Download the latest models and datasets from huggingface.co/nvidia
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a-r-r-o-w's
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18 days ago
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As you might have already heard, FLUX.1-Kontext-dev is now released and taken the generative community by storm!
In case you haven't come across it, you can get started with Kontext using 🤗 diffusers. See the official [model]( black-forest-labs/FLUX.1-Kontext-dev) and [docs](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux#flux).
Want to know how inference companies like Fal & Replicate are able to run the model so fast and in under 2 seconds per image? Check out this [gist](https://gist.github.com/a-r-r-o-w/d08c37e8bd3e9c26b4ce80360be148c6) for some details!
In case you haven't come across it, you can get started with Kontext using 🤗 diffusers. See the official [model]( black-forest-labs/FLUX.1-Kontext-dev) and [docs](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux#flux).
Want to know how inference companies like Fal & Replicate are able to run the model so fast and in under 2 seconds per image? Check out this [gist](https://gist.github.com/a-r-r-o-w/d08c37e8bd3e9c26b4ce80360be148c6) for some details!
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Article
Introducing Cosmos Predict-2: A Foundation For Your Own World Model
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merve's
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26 days ago
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3625
Releases of the past week are here
merve/releases-june-13-6852c3c1eaf1e0c24c958860
Here's our picks 🤓
So many interesting models released past week in open AI! 🤖
🖼️ Computer Vision/VLMs
> nanonets/Nanonets-OCR-s is the new state-of-the-art OCR model that can handle checkboxes, watermarks, tables (OS)
> Meta released facebook/v-jepa-2-6841bad8413014e185b497a6, new sota video embeddings with two new classification models (OS)
> ByteDance-Seed/SeedVR2-3B is a new 3B video restoration model (OS)
Audio
> Stepfun released stepfun-ai/Step-Audio-AQAA, new large (137B 🤯) audio language model that takes in audio and generates audio (OS)
🤖 Robotics
> nvidia released nvidia/GR00T-N1.5-3B, new open foundation vision language action model
3D
> tencent/Hunyuan3D-2.1 is the new version of Hunyuan by Tencent that can generate 3D assets from text and image prompts
Here's our picks 🤓
So many interesting models released past week in open AI! 🤖
🖼️ Computer Vision/VLMs
> nanonets/Nanonets-OCR-s is the new state-of-the-art OCR model that can handle checkboxes, watermarks, tables (OS)
> Meta released facebook/v-jepa-2-6841bad8413014e185b497a6, new sota video embeddings with two new classification models (OS)
> ByteDance-Seed/SeedVR2-3B is a new 3B video restoration model (OS)
Audio
> Stepfun released stepfun-ai/Step-Audio-AQAA, new large (137B 🤯) audio language model that takes in audio and generates audio (OS)
🤖 Robotics
> nvidia released nvidia/GR00T-N1.5-3B, new open foundation vision language action model
3D
> tencent/Hunyuan3D-2.1 is the new version of Hunyuan by Tencent that can generate 3D assets from text and image prompts
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ghostai1's
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26 days ago
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2606
# Reinforcement Learning societal impact: A Deep Dive
Artificial Intelligence, or AI, is revolutionizing the way we live, work, and interact with our environment. With advancements in Reinforcement Learning (RL), machines are becoming increasingly intelligent and capable of making decisions autonomously. This shift is having a significant impact on society as we know it.
One of the most notable aspects of RL is its ability to learn from experience. By observing and interacting with its surroundings, an AI-driven RL system can adapt to new situations and make decisions based on real-world data. This has huge implications for industries like healthcare, where AI can be used to analyze patient data and provide personalized treatment plans, or finance, where it can help predict market trends and make more informed investment decisions.
Furthermore, RL is driving innovation in robotics and automation. Autonomous vehicles, for example, rely on RL to navigate complex environments safely and efficiently. Similarly, manufacturing processes are being automated with RL-powered robots that can learn and improve their performance over time.
While these advancements bring countless benefits, they also raise concerns about privacy, security, and job displacement. It's crucial that we continue to develop ethical guidelines for AI usage and invest in reskilling programs to help workers transition into new roles as automation becomes more prevalent.
In conclusion, the societal impact of AI-driven Reinforcement Learning is vast and multifaceted. From healthcare to finance, transportation to manufacturing, RL is transforming industries and shaping our future in ways we've only just begun to comprehend. As we continue to harness the power of this technology, it's important that we also consider its implications and strive to create a world where AI enhances human potential, rather than replaces it.
Artificial Intelligence, or AI, is revolutionizing the way we live, work, and interact with our environment. With advancements in Reinforcement Learning (RL), machines are becoming increasingly intelligent and capable of making decisions autonomously. This shift is having a significant impact on society as we know it.
One of the most notable aspects of RL is its ability to learn from experience. By observing and interacting with its surroundings, an AI-driven RL system can adapt to new situations and make decisions based on real-world data. This has huge implications for industries like healthcare, where AI can be used to analyze patient data and provide personalized treatment plans, or finance, where it can help predict market trends and make more informed investment decisions.
Furthermore, RL is driving innovation in robotics and automation. Autonomous vehicles, for example, rely on RL to navigate complex environments safely and efficiently. Similarly, manufacturing processes are being automated with RL-powered robots that can learn and improve their performance over time.
While these advancements bring countless benefits, they also raise concerns about privacy, security, and job displacement. It's crucial that we continue to develop ethical guidelines for AI usage and invest in reskilling programs to help workers transition into new roles as automation becomes more prevalent.
In conclusion, the societal impact of AI-driven Reinforcement Learning is vast and multifaceted. From healthcare to finance, transportation to manufacturing, RL is transforming industries and shaping our future in ways we've only just begun to comprehend. As we continue to harness the power of this technology, it's important that we also consider its implications and strive to create a world where AI enhances human potential, rather than replaces it.
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26 days ago
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3885
The demo for the MonkeyOCR Recognition model, which adopts a Structure-Recognition-Relation (SRR) triplet paradigm & Nanonets-OCR-s a powerful, state-of-the-art image-to-markdown OCR model that goes far beyond traditional text extraction and other experimental document OCR models, is combined into a single space.
✦ Try the demo here : prithivMLmods/core-OCR
✦ Try Nanonets-OCR-s demo here : prithivMLmods/Multimodal-OCR
⤷ MonkeyOCR Recognition : echo840/MonkeyOCR
⤷ docscopeOCR-7B-050425-exp : prithivMLmods/docscopeOCR-7B-050425-exp
⤷ coreOCR-7B-050325-preview : prithivMLmods/coreOCR-7B-050325-preview
⤷ Nanonets-OCR-s : nanonets/Nanonets-OCR-s
⤷ Multimodal Implementations : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
Also, include a sample OCR test using the VisionOCR-3B-061125 model and the Qwen2-VL-OCR-2B-Instruct model.
⤷ Blog : https://huggingface.co/blog/prithivMLmods/visionocr-3b-061125-vs-qwen2-vl-ocr-2b-instruct
To know more about it, visit the model card of the respective model. !!
✦ Try the demo here : prithivMLmods/core-OCR
✦ Try Nanonets-OCR-s demo here : prithivMLmods/Multimodal-OCR
⤷ MonkeyOCR Recognition : echo840/MonkeyOCR
⤷ docscopeOCR-7B-050425-exp : prithivMLmods/docscopeOCR-7B-050425-exp
⤷ coreOCR-7B-050325-preview : prithivMLmods/coreOCR-7B-050325-preview
⤷ Nanonets-OCR-s : nanonets/Nanonets-OCR-s
⤷ Multimodal Implementations : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
Also, include a sample OCR test using the VisionOCR-3B-061125 model and the Qwen2-VL-OCR-2B-Instruct model.
⤷ Blog : https://huggingface.co/blog/prithivMLmods/visionocr-3b-061125-vs-qwen2-vl-ocr-2b-instruct
To know more about it, visit the model card of the respective model. !!
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FlameF0X's
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26 days ago
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1369
Hi everyone!
The release of https://huggingface.co/FlameF0X/SnowflakeCore-G0-Release-3-1B is currently delayed due to hardware limitations—I'm currently lacking the compute resources needed to complete training. I'm exploring options and will keep you updated on any progress.
Thank you for your patience and support!
The release of https://huggingface.co/FlameF0X/SnowflakeCore-G0-Release-3-1B is currently delayed due to hardware limitations—I'm currently lacking the compute resources needed to complete training. I'm exploring options and will keep you updated on any progress.
Thank you for your patience and support!
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AdinaY's
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26 days ago
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1287
SongGeneration 🎵 A model by Tencent for vocal + accompaniment music generation.
Model:
tencent/SongGeneration
Demo:
https://huggingface.co/spaces/waytan22/SongGeneration-LeVo
✨ Mixed & dual-track token modeling
✨ Hi-fi music with custom codec
✨ Currently supports Chinese, English version coming soon!
Model:
tencent/SongGeneration
Demo:
https://huggingface.co/spaces/waytan22/SongGeneration-LeVo
✨ Mixed & dual-track token modeling
✨ Hi-fi music with custom codec
✨ Currently supports Chinese, English version coming soon!
Streaming?
#1 opened 2 months ago
by
YaTharThShaRma999
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a-r-r-o-w's
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about 1 month ago
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2274
New diffusion model for text-to-image and video-to-world generation: Cosmos Predict-2 👽
Model collection: nvidia/cosmos-predict2-68028efc052239369a0f2959
Diffusers support: https://github.com/huggingface/diffusers/pull/11695
Documentation: https://huggingface.co/docs/diffusers/main/en/api/pipelines/cosmos
These are results with the 2B param model. Imagine what you could do with the 14B version! Go check it out now!
Model collection: nvidia/cosmos-predict2-68028efc052239369a0f2959
Diffusers support: https://github.com/huggingface/diffusers/pull/11695
Documentation: https://huggingface.co/docs/diffusers/main/en/api/pipelines/cosmos
These are results with the 2B param model. Imagine what you could do with the 14B version! Go check it out now!
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MMMU-Pro Vision with Magistral Small
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#9 opened about 1 month ago
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tomrance