The State of Machine Learning in 2022

April 19, 2022 by Daniel Langkilde in machinelearning, entrepreneurship, nlp

What is the state of machine learning in 2022? Running a business that is closely tied to the progress of state-of-the-art machine learning means I’m trying to stay up to date with what is going on. In this post, I go through what I consider to be the most interesting breakthroughs and share my thoughts on what that means. We cover embeddings, attention, transformers and multi-modal models.

The Importance of Annotated Data in NLP

September 10, 2016 by Daniel Langkilde in machinelearning, nlp

Modern machine learning techniques, such as deep learning, require massive amounts of data. Natural language processing is particularly challenging as language is spares. This means there are lots of rare occurrences that are bound to appear in the text you are processing. This post describes what you can do to handle the sparcity of NLP.