Peter Simon

✝️🤗I am on the constant pursuit to find the latest and greatest data tech.

[arXiv.org @arxiv]

The science is sciencing, the math is mathing, the stats are . . . stat . . . ing? 🤔📈🧑‍🔬 Not ONLY did we break the record for new monthly submissions AGAIN last month (21,076 in May!) arXiv is on the verge of hitting 2.5 million articles total. 👀👀👀 #TONIGHT

[Peter Simon @petersimon777]

🥞 Your Daily Dose of AI: Unveiling the Magic of Stable Diffusion 3
https://t.co/EeGqOxtptG
#stablediffusion3 #stablediffusion #texttoimage #text2image #AIRevolutionAIefficiency #scalableAI #futureofAI #neuralnetworks #AIinnovation #machinelearning #technews

[Peter Simon @petersimon777]

🍎 3 min Summary video of Apple's SDK's with AI capabilities!
https://t.co/0I4YxHLCfJ
#apple #ai #SDK #swift

[Peter Simon @petersimon777]

😃 My new video Check it out:
Your Daily Dose of AI: Top 5 Apple Intelligence Features from WWDC 2024
https://t.co/9GLmX9xhVM

[Peyman Milanfar @docmilanfar]

hyper-parameter tuning

[Linus ✦ Ekenstam @LinusEkenstam]

3D modelling is dead

1 artist, 100x your workflow with CityBLD

Here is New York City recreated in Unreal. A totally playable 1:1 representation of the city made by one person 🤯

The tools that creatives will have at their disposals are pure wild fire

A thread🧵

[AI at Meta @AIatMeta]

We’re excited for even more people to be able to build with Llama 2 on https://t.co/ZEoYo4mPNn!

[AI at Meta @AIatMeta]

We believe an open approach is the right one for the development of today's Al models.

Today, we’re releasing Llama 2, the next generation of Meta’s open source Large Language Model, available for free for research & commercial use.

Details ➡️ https://t.co/vz3yw6cujk

[Stability AI @StabilityAI]

Exciting Announcement! Stability AI proudly presents Stable Doodle, our groundbreaking sketch-to-image tool!

🖌️Unleash your creativity as a simple drawing transforms into a vibrant, dynamic image. #StabilityAI

Read more https://t.co/Oy4lGSv2e9

[AK @_akhaliq]

zeroscope_v2 XL, A watermark-free Modelscope-based video model capable of generating high quality video at 1024 x 576

Model on @huggingface : https://t.co/aFbEO6oydm

This model was trained with offset noise using 9,923 clips and 29,769 tagged frames at 24 frames, 1024x576 resolution.
zeroscope_v2_XL is specifically designed for upscaling content made with zeroscope_v2_576w using vid2vid in the 1111 text2video extension by kabachuha. Leveraging this model as an upscaler allows for superior overall compositions at higher resolutions, permitting faster exploration in 576x320 (or 448x256) before transitioning to a high-resolution render. zeroscope_v2_XL uses 15.3gb of vram when rendering 30 frames at 1024x576

[Emad @EMostaque]

Happy to announce #SDXL 0.9 release you can try out @clipdropapp, researchers can get weights too via below link.

After feedback aiming to release 1.0 CreativeML mid-July (🤞)

Trying to get it to a single model vs two

Great work by @robrombach & team

https://t.co/Cwndle4dmM

[Aran Komatsuzaki @arankomatsuzaki]

3D-aware Image Generation using 2D Diffusion Models

proj: https://t.co/3OWd7hAx0x
abs: https://t.co/y7g1lflaZR

[Max Drekker @MaxDrekker]

GN

[Aran Komatsuzaki @arankomatsuzaki]

A Survey of Large Language Models

https://t.co/Lz06rpRIBm

[Jeremy Howard @jeremyphoward]

There's a lot of folks under the misunderstanding that it's now possible to run a 30B param LLM in <6GB, based on this GitHub discussion.

This is not the case. Understanding why gives us a chance to learn a lot of interesting stuff! 🧵
https://t.co/9xOfNyLUFr

[Sebastian Raschka @rasbt]

Should we train our own large language model (LLM) on domain-specific data from scratch?
Researchers at Bloomberg did just that and shared a detailed technical report describing the dataset, model configuration, and training procedure.

1/9

[Stability AI @StabilityAI]

Stability AI is excited to announce the launch of Stable Diffusion Reimagine!

We invite users to experiment with images and ‘reimagine’ their designs through Stable Diffusion.

More info → https://t.co/lVxsBvwd0u

[Philipp Schmid @_philschmid]

Attention all #NLP enthusiasts! Yesterday @PyTorch 2.0 officially got released! 💥
Check out How to get started with PyTorch 2.0 and Hugging Face Transformers and learn how to get up to 2x speed improvements. 🏎

👉 https://t.co/3zxWgZrDSf

https://t.co/3zxWgZrDSf

[Peter Simon @petersimon777]

PD 2.0 = Pandas 2.0 Release
- It have basically become a FAST BIG data framework
- https://t.co/iiL8Zk6ujp
- https://t.co/RtUTqe45lT

[PyTorch @PyTorch]

With the release of PyTorch 2.0, we're sharing the latest for Stable Diffusion on Hugging Face Diffusers! Using the optimized scaled dot-product attention in PyTorch and torch.compile(), the team achieved up to 50% speed up across different accelerators.

https://t.co/K9D39PYvNs