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Articole: 10
  1. Reading Time: 21 minutes TL;DR: A vibe coded Next.js 15 app (https://visualneurons.com/) that lets you create images, edit them with precision masks, and generate short videos.

  2. Byte Pair Encoding: building the GPT tokenizer with Karpathy

    Reading Time: 15 minutes Useful links: Youtube lecture, minbpe GitHub repo, Colab notebook What is a tokenizer and why do we need one The purpose of this post is to put in writing (part of) the latest Andrej Karpathy’s lecture on LLM Tokenization.

  3. CUDA for Python Programmers

    Reading Time: 18 minutes Introduction In this post, I go through the content covered by Jeremy Howard in his lecture CUDA for Python programmers.

  4. Reading Time: 9 minutes Here the ControlNet fork Here our repo with the code we used in our stack We pulled the plug on LogoNet, so the service is currently not available Context In this post, Lucas and I describe the end2end cloud solution we built to de…

  5. Reading Time: 5 minutes Useful links YouTube lecture by Andrej Karpathy Attention is All You Need paper Repo with content from the video lecture gpt.py file with code mapping to slides Apologies if the slides’ font might be too small.

  6. Fastai Course Part 2 2022: Understanding CallBacks

    Reading Time: 9 minutes Context In October 2022 I started attending the new version of part 2 of the fastai course.

  7. Reading Time: 6 minutes Note: you can follow along with the post in this Jupyter notebook Context The ML announcement I liked the most at AWS re:Invent 2022 was SageMaker support for shadow deployment.

  8. Reading Time: 9 minutes Disclaimers You can find the code used in this post here.

  9. Reading Time: 8 minutes Code and disclaimer: you can find the notebook with the relevant code here.

  10. Reading Time: 9 minutes Note: You can find the Jupyter notebook with all the steps I followed here, and the folder with the relevant accompanying files here.