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  1. KV caching [1] stores the key and value tensors from tokens a transformer has already processed.

  2. A few days back, AMD gifted me a GMKtec EVO-X2 so that I could do some of my compute-heavy work locally.

  3. This post has an accompanying talk I gave at the MIT BCS department.

  4. Attention is a crucial component in generative neural architectures for continuous modalities like images and videos from natural language.

  5. Releasing a new version of an open-source library is an exhilarating experience.

  6. This work was done at Carted, where I worked as a (founding) machine learning engineer.

  7. This work was done at Carted, where I worked as a (founding) machine learning engineer.

  8. Many people who aspire to become Machine Learning (ML) practitioners find it particularly difficult to continue to hone relevant skills when they pursue a job that does not involve even a tiny bit of ML.

  9. This work was done at Carted, where I worked as a (founding) machine learning engineer.

  10. This work was done at Carted, where I worked as a (founding) machine learning engineer.

  11. This work was done at Carted, where I worked as a (founding) machine learning engineer.

  12. First Steps in GSoC

    In this post, I discuss my perspective on two primary questions pertaining to the Google Summer of Code (GSoC) program.

  13. This work was done at Carted, where I worked as a (founding) machine learning engineer.

  14. I recently added 15 different variants of the ConvNeXt architecture to TensorFlow Hub (TF-Hub).

  15. This post shows how to build and install OpenCV 4.5.0 on a MacBook Pro that comes with an M1 chip.

  16. In the previous post, we saw how to convert the pre-trained CRAFT model from PyTorch to TensorFlow Lite (TFLite) and run inference with the converted TFLite model.

  17. This year researchers from the University of Wisconsin-Madison and Google published their work on MobileDet.

  18. Data augmentation is a favorite recipe among deep learning practitioners especially for the ones working in the field of computer vision.