Ward Plunet @StartupYou
Phd in Neuroscience looking at the intersection between machine learning and neuroscience #machinelearning #AI #neuroscience Vancouver, Canada Joined December 2011-
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Think people might want to try this out
this is a pretty good one. If you can only see one of the two - try shifting you gaze to in front of the car or behind the car.
this is a pretty good one. If you can only see one of the two - try shifting you gaze to in front of the car or behind the car.
Google presents Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention 1B model that was fine-tuned on up to 5K sequence length passkey instances solves the 1M length problem arxiv.org/abs/2404.07143
Meta confirms Llama 3 coming in the 'next month' techcrunch.com/2024/04/09/met…
Always wondered why more people weren't try to train with compressed text - but in this case that had to device a novel compression technique.
Always wondered why more people weren't try to train with compressed text - but in this case that had to device a novel compression technique.
Considerable reduction in required FLOPs for the same performance.
The new editing tools in DALLE are nice. Not perfect but overall worked for me.
To exploring more of the design space
Worth taking a look at if you want to think of the idea of converting brain networks to NNs.
Worth taking a look at if you want to think of the idea of converting brain networks to NNs.
I'm excited to share our latest fMRI-to-image paper 🥳 MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data! 🧠👁️ arXiv: arxiv.org/abs/2403.11207 project page: medarc.ai/mindeye2
Thinking quietly helps in thinking aloud - we added an additional result to the Quiet-STaR paper! We also open sourced code and weights today.
Thinking quietly helps in thinking aloud - we added an additional result to the Quiet-STaR paper! We also open sourced code and weights today.
I really like the approach of this paper. And this thread offers a very nice explanation of the paper.
I really like the approach of this paper. And this thread offers a very nice explanation of the paper.
Take a read of this perspective on the need for NeuroAI.
Ok this paper is bonkers and I love it biorxiv.org/content/10.110…
Something to read. Deep learning researchers might get inspired.
Something to read. Deep learning researchers might get inspired.
Interesting thread: neuroscience knowledge to help machine learning.
This could speed up research ideas, and narrow down the near infinite possible experiments that could be run.
This could speed up research ideas, and narrow down the near infinite possible experiments that could be run.
Context window of videos with 1M tokens
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The paper shows that specific personality traits 🤡 bias to fMRI in related cognitive tasks. biorxiv.org/content/10.110…
@convex_dev Why is this meaningful? Last time I saw this project, I didn't even bother because I don't want to waste money paying for ChatGPT API every time these AI characters do something. But now that it runs 100% local, it has suddenly become one of the most fascinating AI projects.
Here is a full colab notebook if you dont want to copy the code by hand. Again thanks to @Teknium1 for the suggestion colab.research.google.com/drive/1bX4BsjL…
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Why this works: for effective feature learning in neural networks using an Adam optimizer, learning rate needs to be inversely proportional to the width (a.k.a. model dimension) when your width is large. (screenshot from Tensor Programs V)
if you are using LoRA: divide the A matrix learning rate by 8 and multiply the B matrix learning rate by 8. you can thank me later
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So, building on the work of excellent scientists in #GeneTherapy & #SingleCell sequencing, we invented a way to run hundreds of independent tests of candidate therapies, inside a living animal. Here's a video explaining how we combine code and biotechnology to make this happen:…
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Run OpenVoice 2 Locally, with 1 Click. I wrote a local-first gradio app AND a 1-click launcher for running OpenVoice 2 on ALL operating systems (Windows, Mac, Linux). This is probably the only implementation that currently works for all platforms and for all languages.
Introduce OpenVoice V2 - a Text-to-Speech model that can clone any voice and speak in any language. Developed by MyShell and @MIT_CSAIL researchers. 🌐 Imagine your voice going global in multiple languages. 🔊 OpenVoice V2 breaks the language barrier and redefines voice…
Here's the 256k (262k) version built on OSS tools so that anyone can reproduce on their own. Trained using PoSE further extending our previous 64k version at the original RoPE theta. Per our previous experiments, I expect this should handle passkey retrieval up to 512k. 🤗Model:…
We just released the first LLama-3 8B with a context length of over 160K onto Hugging Face! SOTA LLMs can learn to operate on long context with minimal training (< 200M tokens, powered by @CrusoeEnergy's compute) by appropriately adjusting RoPE theta. 🔗 huggingface.co/gradientai/Lla…