Darek Kleczek

In this article, we dive into how large language models (LLMs) work, starting with tokenization and sampling, before exploring how to use them in your applications.

This article provides a playbook for machine learning practitioners on identifying new machine learning opportunities so they can be a part of the next big thing.

In this article, we look at how we achieved 2nd place on the Kaggle Feedback Prize - Predicting Effective Arguments Efficiency Leaderboard and what we learned.

End-to-end example with Jax, Flax, Optax and Weights & Biases

A look at the most useful Weights & Biases features for autonomous vehicle companies

Darek Kleczek takes us through the art and science of how to prompt engineer like a pro.

Harnessing GPT-4 and ChatGPT for Efficient Processing of Unstructured Documents