Yoel ZeldesinTowards Data ScienceGPT-3, a Giant Step for Deep Learning And NLPCan intelligence emerge simply by training a big enough LM using lots of data? OpenAI tries to do so, using 175 billion parameters·7 min read·Jun 3, 2020--1--1
Yoel ZeldesinTowards Data ScienceThe accessibility of GPT-2 — text generation and fine-tuningText generation using GPT-2 is quite easy, using the right tools. Learn how to do it, as well as how to fine-tune the model on your own…·7 min read·Nov 28, 2019--1--1
Yoel ZeldesinTowards Data ScienceMixture of Variational Autoencoders — a Fusion Between MoE and VAEAn unsupervised approach to digit classification and generation·6 min read·Apr 1, 2019--3--3
Yoel ZeldesinTowards Data ScienceTensorFlow — The Scope of Software EngineeringHow to structure your TensorFlow graph like a software engineer·4 min read·Feb 5, 2019----
Yoel ZeldesinTowards Data SciencePreparing for the UnexpectedHow to apply your model to input it has never seen before·4 min read·Jan 27, 2019----
Yoel ZeldesinTowards Data ScienceThink your Data DifferentLearn how node2vec works, and what kind of information it captures that word2vec doesn’t — includes case study·6 min read·Jan 21, 2019----
Yoel ZeldesinThe StartupHow to Build Your Personal Brand as a Data ScientistA couple of months ago I embarked on a journey to build my personal brand as a data scientist, and I want to share how I did it with you.·6 min read·Dec 31, 2018--6--6
Yoel ZeldesinTowards Data ScienceThe Story of a Bad Train-Test SplitSplitting your dataset to train-test sets can sometimes be more complicated than one might expect·5 min read·Dec 16, 2018--1--1
Yoel ZeldesinTowards Data ScienceTensorFlow Filesystem — Access Tensors DifferentlyThe weird (but cool) way to access a tensorflow model by mounting it into a filesystem·5 min read·Dec 9, 2018--2--2
Yoel ZeldesinTowards Data ScienceVariational Autoencoders Explained in DetailLearn all the details needed to implement a variational autoencoder, code included.·5 min read·Nov 11, 2018----