Carlos García (@carlosg91018370) 's Twitter Profile
Carlos García

@carlosg91018370

ID: 1389975128218521608

calendar_today05-05-2021 16:08:06

347 Tweet

183 Followers

643 Following

Yann LeCun (@ylecun) 's Twitter Profile Photo

🥁 Llama3 is out 🥁 8B and 70B models available today. 8k context length. Trained with 15 trillion tokens on a custom-built 24k GPU cluster. Great performance on various benchmarks, with Llam3-8B doing better than Llama2-70B in some cases. More versions are coming over the next

🥁 Llama3 is out 🥁
8B and 70B models available today.
8k context length.
Trained with 15 trillion tokens on a custom-built 24k GPU cluster.
Great performance on various benchmarks, with Llam3-8B doing better than Llama2-70B in some cases.
More versions are coming over the next
Andrej Karpathy (@karpathy) 's Twitter Profile Photo

Congrats to AI at Meta on Llama 3 release!! 🎉 ai.meta.com/blog/meta-llam… Notes: Releasing 8B and 70B (both base and finetuned) models, strong-performing in their model class (but we'll see when the rankings come in @ lmsys.org :)) 400B is still training, but already encroaching

Andrej Karpathy (@karpathy) 's Twitter Profile Photo

🔥llm.c update: Our single file of 2,000 ~clean lines of C/CUDA code now trains GPT-2 (124M) on GPU at speeds ~matching PyTorch (fp32, no flash attention) github.com/karpathy/llm.c… On my A100 I'm seeing 78ms/iter for llm.c and 80ms/iter for PyTorch. Keeping in mind this is fp32,

🔥llm.c update: Our single file of 2,000 ~clean lines of C/CUDA code now trains GPT-2 (124M) on GPU at speeds ~matching PyTorch (fp32, no flash attention)
github.com/karpathy/llm.c…

On my A100 I'm seeing 78ms/iter for llm.c and 80ms/iter for PyTorch. Keeping in mind this is fp32,
Mohammed AlQuraishi (@moalquraishi) 's Twitter Profile Photo

AlphaFold 3 is out! As expected expands coverage to small molecules and nucleic acids. And replaces the structure module with a diffusion-based one. Unfortunately no code or model weights--just a web server for a limited set of ligands: blog.google/technology/ai/…

Taelin (@victortaelin) 's Twitter Profile Photo

RELEASE DAY After almost 10 years of hard work, tireless research, and a dive deep into the kernels of computer science, I finally realized a dream: running a high-level language on GPUs. And I'm giving it to the world! Bend compiles modern programming features, including: -

Andrej Karpathy (@karpathy) 's Twitter Profile Photo

# Reproduce GPT-2 (124M) in llm.c in 90 minutes for $20 ✨ The GPT-2 (124M) is the smallest model in the GPT-2 series released by OpenAI in 2019, and is actually quite accessible today, even for the GPU poor. For example, with llm.c you can now reproduce this model on one 8X

# Reproduce GPT-2 (124M) in llm.c in 90 minutes for $20 ✨

The GPT-2 (124M) is the smallest model in the GPT-2 series released by OpenAI in 2019, and is actually quite accessible today, even for the GPU poor. For example, with llm.c you can now reproduce this model on one 8X
Antelm Pujol, M.D. (@antelmpujol) 's Twitter Profile Photo

💊 🏃‍♂️ QUÉ ES MÁS EFECTIVO PARA LA DEPRESIÓN O ANSIEDAD: ANTIDEPRESIVOS Vs CORRER 🧵 Este reciente estudio lo evalúa👇🏻

💊 🏃‍♂️ QUÉ ES MÁS EFECTIVO PARA LA DEPRESIÓN O ANSIEDAD: ANTIDEPRESIVOS Vs CORRER

🧵 Este reciente estudio lo evalúa👇🏻
César de la Fuente (@delafuenteupenn) 's Twitter Profile Photo

(1/7)Antimicrobial resistance is one of the greatest threats facing humanity and novel antibiotics are urgently needed. Today Cell we report the discovery of nearly 1 million new antibiotics by mining the global microbiome. 🧫️🔬. cell.com/cell/fulltext/…

Dr Singularity (@dr_singularity) 's Twitter Profile Photo

This is HUGE - AI predicted nearly 1 MILLION new antibiotics in groundbreaking study. Out of 100 tested peptides, 79 were active in vitro, 63 of these targeted pathogens “We have been able to just accelerate the discovery of antibiotics,” de la Fuente said. “So instead of having

This is HUGE -  AI predicted nearly 1 MILLION new antibiotics in groundbreaking study. Out of 100 tested peptides, 79 were active in vitro, 63 of these targeted pathogens “We have been able to just accelerate the discovery of antibiotics,” de la Fuente said. “So instead of having
AI4Life Team (@ai4lifeteam) 's Twitter Profile Photo

Have you heard of SAM? Carlos García and Caterina Fuster-Barceló (she/her) present a Fiji plugin for annotating microscopy images using various versions of the Segment Anything Model github.com/segment-anythi…

Have you heard of SAM? <a href="/carlosg91018370/">Carlos García</a> and <a href="/cfusterbarcelo/">Caterina Fuster-Barceló (she/her)</a> present a <a href="/FijiSc/">Fiji</a> plugin for annotating microscopy images using various versions of the Segment Anything Model

github.com/segment-anythi…
Dylan Jardon 🌈 (@dylanjardon) 's Twitter Profile Photo

"Perfection is impossible. In the 1,526 singles matches I played in my career, I won almost 80% of those matches. But what percentage of points did I win? 54% In other words, even top ranked tennis players win barely more than half the points they play. When you lose ever

Ian Goodfellow (@goodfellow_ian) 's Twitter Profile Photo

In the Google DeepMind fusion team, we're working with external collaborators to solve nuclear fusion power generation. Check out the team's 2022 Nature paper in collaboration with EPFL for more context on how reinforcement learning can be used to control a fusion power

Tanishq Mathew Abraham, Ph.D. (@iscienceluvr) 's Twitter Profile Photo

Technical Report of HelixFold3 for Biomolecular Structure Prediction The PaddleHelix research team at Baidu have released their AlphaFold3 replication under an open-source noncommercial license. Performance approaches that of AlphaFold3. abs: arxiv.org/abs/2408.16975 website:

Technical Report of HelixFold3 for Biomolecular Structure Prediction

The PaddleHelix research team at Baidu have released their AlphaFold3 replication under an open-source noncommercial license. Performance approaches that of AlphaFold3.

abs: arxiv.org/abs/2408.16975
website:
Jean-Yves Tinevez (@jytinevez) 's Twitter Profile Photo

1/ I'd like to share a short thread about our project to build a nationwide, distributed core-facility for bioimage analysis. We discuss this in our recent preprint: arxiv.org/abs/2409.15009

Jon Barron (@jon_barron) 's Twitter Profile Photo

Google Photos reminded me that I was last in Italy 12 years ago, for ECCV 2012, Florence. My paper's code was written in Matlab and ran on my MacBook. Some guy named Alex won the ImageNet workshop using a neural network and a GPU. The keynote fit into a regular-sized room.

Google Photos reminded me that I was last in Italy 12 years ago, for ECCV 2012, Florence. My paper's code was written in Matlab and ran on my MacBook. Some guy named Alex won the ImageNet workshop using a neural network and a GPU. The keynote fit into a regular-sized room.
Caterina Fuster-Barceló (she/her) (@cfusterbarcelo) 's Twitter Profile Photo

It's been almost a week, and still want to know more? 🔍 Check out these 16 Q&A about the BioImage.IO Chatbot on the Image.sc forum! Read through them or ask more questions if you have any! ✨ forum.image.sc/t/globias-bia-…