Learnings

<p>Artificial Intelligence Infrastructure-as-Code Generator </p>

<p>FigGPT: Use ChatGPT in Figma or Figjam! </p>

<p>Awesome Machine Learning FAQ </p>

<p>Extrapolating to Unnatural Language Processing with GPT-3's In-context Learning: The Good, the Bad, and the Mysterious </p>

<p>"...Since the very beginning of AI back in 1956, we’ve made this terrible error, a sort of original sin of the field, to believe that minds are like computers and vice versa." </p>

<p>A New Lens on Understanding Generalization in Deep Learning: </p>

<p>2021 AI Index Report: </p>

<p>Most Common Neural Net PyTorch Mistakes: </p>

<p>Understanding “Deep Double Descent”: bigger models are always better? </p>

<p>Why Deep Learning Works Even Though It Shouldn’t </p>

<p>Amazing YouTube channel with friendly explanations of machine learning and statistics concepts: </p>

<p>The New Business of AI (and How It’s Different From Traditional Software): </p>

<p>A gentle introduction to Visual Question Answering (VQA) using neural networks: </p>

<p>Cookiecutter Data Science: </p>

<p>Continuous Delivery for Machine Learning: Automating the end-to-end lifecycle of Machine Learning applications </p>

<p>Ask HN: What is your ML stack like? </p>

<p>A tutorial on how to build a GitHub bot that predicts and applies issue labels using Tensorflow and public datasets: </p>

<p>Can Users Control and Understand a UI Driven by Machine Learning? </p>

<p>Amazing article on what Machine Learning means for tech and general companies. A must read! </p>

<p>Stop Using word2vec: </p>