Deeptej More @Deepu_learning
Artificial Intelligence @NorthwesternU | prev @iitbombay, @ISBedu | Computer Vision | Meta Learning | Self Supervision Joined January 2023-
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The only MIT relevant to our generation of artificial intelligence is Manipal Institute of Technology.
Does a CS PhD make sense today when the industry is advancing at an exponential pace?
Sora vs Gemini 1.5 who will have a bigger impact?
How is everyone is working in NLP all of a sudden? What happened to good old Computer Vision folks?
I need a summary of what’s happening with OpenAI. Too much information to keep track of.
Starting my AI grad program at Northwestern University! If you are interested in AI for medical imaging or Computer Vision, or know people/companies in Chicago excelling in this field, let's connect and chat! #AI #ComputerVision
My guilty pleasure is using camelCase 🐫 in Python 😁
Iterating filters with small supports is equivalent to using a filter with an increasing size. en.wikipedia.org/wiki/Convoluti…
My new journal article is published in Pattern Recognition Letters. "MAML-SR: Self-Adaptive Super-Resolution Networks via Multi-scale Optimized Attention-aware Meta-Learning". Link 🔗: tinyurl.com/yc68n5dr #computervision #ai #deeplearning
So everyone is a material science expert now huh? #LK99
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The Fourier Transform, explained in one sentence by Stuart Riffle. [bityl.co/NGqj]
many great deep learning advances are *so* obvious in hindsight that it’s hard to tell what was big deal all about
Computer Vision conference's acceptance criteria these days: #CVPR2024 #eccc2024 #AI #ComputerVision
Do language models have an internal world model? A sense of time? At multiple spatiotemporal scales? In a new paper with @tegmark we provide evidence that they do by finding a literal map of the world inside the activations of Llama-2!
@Deepu_learning It does. Getting a PhD from top universities opens doors to many esoteric groups. PhD is kindaa an approved seal which reinforces your ability to pursue ground breaking research. And who doesn't want 3 more years of college life pursuing research?
@yaroslavvb one of the best deals of backprop is to replace nasty large matrix inversions with iterative updates. Feels going backward, no?
4 big AI announcements within a single morning - in case you missed it
Introducing Sora, our text-to-video model. Sora can create videos of up to 60 seconds featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions. openai.com/sora Prompt: “Beautiful, snowy…
Moved out of SF due to visa issues and costs. Quit my 200k job without any backing. No funding support. Bank account went to $0 in Dec. Back up now. Started nomading to cheap places, currently in Mexico. Being in SF is nice BUT when you have so much internal motivation, you can…
Always living by this regardless of if I have any support or not. Just shipping everything I want to see exist: myreader.ai, Airlight.pro, holaapp.xyz and more to come….
We made a craigslist for gpu clusters: gpulist.ai Check it out if you're looking for gpus. And if you have any extra hardware you want to rent out, posting is free. Follow @GpuList to be notified of new posts.
So @karpathy leaves OpenAI, which means we are getting some nice YouTube videos?
🔀 Phixtral I made the first efficient Mixture of Experts with phi-2 models. 🥳 It combines 2 to 4 fine-tuned models and is better than each individual expert. 🤗 phixtral-2x2_8: huggingface.co/mlabonne/phixt… 🤗 phixtral-4x2_8: huggingface.co/mlabonne/phixt…
The internet used to be ✨ fun✨ projects.kwon.nyc/internet-is-fu… I remember visiting my friend’s websites. They were ugly and quirky and it was awesome. You wondered who’d stop by yours. They were a labor of love and a medium of self-expression, not your LinkedIn. We can fight this.
Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.
@english_august Marcus says stupid things like neurosymbolic AI. Yann has never said anything of that nature. He has stuck with differentiable programming: gradient-based learning and objective-driven optimization (in the continuous space) at inference time.