Bạn có thể thích
sam.cpp 👀 Inference of Meta's Segment Anything Model on the CPU Project by @YavorGI - powered by ggml.ai
Introducing SeamlessM4T, the first all-in-one, multilingual multimodal translation model. This single model can perform tasks across speech-to-text, speech-to-speech, text-to-text translation & speech recognition for up to 100 languages depending on the task. Details ⬇️
IDEFICS, a 9B and 80B open-source reproduction of DeepMind's Flamingo by the @huggingface team. Flamingo was an early milestone of multimodal foundation models that support arbitrary interleaving of image and text. IDEFICS is not quite at DeepMind's level yet, but outperforms an…
🔥🔥🔥 We share you the online demos of all the WizardMath models: 🧙♀️WizardMath-70B: http://47.103.63.15:50083/ 🧙WizardMath-13B: http://47.103.63.15:50082/ 🧙♂️WizardMath-7B: http://47.103.63.15:50080/ ❤️Welcome everyone to use your professional and difficult instructions to…
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis abs: arxiv.org/abs/2302.14859 project page: bakedsdf.github.io
Men who use LARGE language models, is it possible that you're compensating for something?
Here is a list of the books I've published, providing an eclectic learning journey and spice for the imagination. So far, which book did you like best? (Select image to magnify.)
A Neural Space-Time Representation for Text-to-Image Personalization explore a new text-conditioning space that is dependent on both the denoising process timestep (time) and the denoising U-Net layers (space) and showcase its compelling properties. A single concept in the…
Adam, a 9-yr old optimizer, is the go-to for training LLMs (eg, GPT-3, OPT, LLAMA). Introducing Sophia, a new optimizer that is 2x faster than Adam on LLMs. Just a few more lines of code could cut your costs from $2M to $1M (if scaling laws hold). arxiv.org/abs/2305.14342 🧵⬇️
There are countless papers over the years to "dethrone" the Adam optimizer. Is this finally the one? Sophia: a scalable 2nd order optimizer - 13 lines of pseudocode - 2x speedup over Adam on GPT-2 - Improves pre-training stability and doesn't need special tricks - Works by…
- 32 CPU cores - 24 TOPS NPU - 64GB RAM - ARMv8-A (64-bit) - TDP < 30W ⚡ Turing Pi 2 + Turing RK1: Mini ITX but mighty performance. #EdgeComputing
Did your brain fall out of your head, Yglesias? The choice is have Twitter throttled in its entirety or limit access to some tweets. Which one do you want?
microsoft: introducing our new search engine, Bing! everyone: it’s awful. we hate it microsoft: ok. what if we gave it a soul
We are presenting **SAD** (Segment Any RGBD): SAD is able to perform 3D segmentation (segment out any 3D object) with RGBD inputs (or rendered depth images only). - Code: github.com/Jun-CEN/Segmen… - Demo @huggingface: huggingface.co/spaces/jcenaa/…
We are looking at the future of VR, YouTube & Google Street View. This is zip-NeRF, a 3D neural rendering tech rapidly approaching the quality of a real, high-res drone flight video. Think of NeRF as transporting reality into simulation. Metaverse will finally work this time.
3D-aware Image Generation using 2D Diffusion Models abs: arxiv.org/abs/2303.17905 project page: jeffreyxiang.github.io/ivid/
New modelscope text to video model is out, better quality, trained for a month longer (old model on left, new model on right) @Gradio demo: huggingface.co/spaces/damo-vi… model: huggingface.co/damo-vilab/mod… reddit thread: reddit.com/r/StableDiffus… "An astronaut riding a horse."
Over the past two and a half years, EleutherAI has grown from a group of hackers on Discord to a thriving open science research community. Today, we are excited to announce the next step in our evolution: the formation of a non-profit research institute. blog.eleuther.ai/year-two-prefa…
United States Xu hướng
- 1. #AEWDynamite 19.1K posts
- 2. #AEWCollision 7,371 posts
- 3. #CMAawards 4,736 posts
- 4. Philon N/A
- 5. #Survivor49 3,293 posts
- 6. Donovan Mitchell 3,742 posts
- 7. #cma2025 N/A
- 8. Dubon 3,320 posts
- 9. Simon Walker N/A
- 10. Nick Allen 1,976 posts
- 11. Okada 12.1K posts
- 12. Derik Queen 1,811 posts
- 13. UConn 7,766 posts
- 14. Lainey Wilson N/A
- 15. Bristow N/A
- 16. Cavs 8,423 posts
- 17. Arizona 31.9K posts
- 18. Morgan Wallen N/A
- 19. FEMA 54.7K posts
- 20. Andrej Stojakovic N/A
Bạn có thể thích
Something went wrong.
Something went wrong.