All Stories

MIT Statistical Learning Lecture 2 - Regularized Least Squares

So we’re back with more Statistical Learning. In this class, we introduce the idea of regularization and some of the statistical underpinnings there.

In Oct 04, 2019

MIT Statistical Learning Lecture 1 - Overview

Recently I started attending a class at MIT on Statistical Learning Theory and Applications. The course is basically a deep dive into the statistical underpinnings of Machine Learnin...

In Sep 25, 2019

Sentiment analysis with spaCy-PyTorch Transformers

Trying another new thing here: There’s a really interesting example making use of the shiny new spaCy wrapper for PyTorch transformer models that I was excited to dive into. I figure...

In Sep 18, 2019

Sustainability certification data release

Sustainability certification brand inventory

In Sep 05, 2019

Matching the Blanks: Distributional Similarity for Relation Learning

I heard from a colleague about this paper recently and thought it was really interesting and relevant to some of the work I’m doing. I figure I’ll aim to do a paper summary here ever...

In Aug 28, 2019

What's missing in NLP

What’s missing in Natural Language Processing

In Aug 19, 2019

Entity-Linking in spaCy

Annnnd we’re back with more overviews of talks from the spaCy IRL conference. This time Sofie Van Landeghem takes us through the work-in-progress Entity-Linking model in spaCy.

In Aug 12, 2019

Transfer Learning in Open-source NLP

As I mentioned last time, I’m going to start digging into some topics of interest to me and put together my notes in blog form. My main purpose here is to keep an inventory of the to...

In Aug 06, 2019

Featured

  1. LLM Apps Part 5 - Even finer tuning - Quantization and LoRA
    In LLM App Series, LLM, tutorials,
  2. LLM Apps Part 4 - Only the finest tuning
    In LLM App Series, LLM, tutorials,
  3. LLM Apps Part 3 - RAGs to riches
    In LLM App Series, LLM, tutorials,
  4. LLM technology for dermatology
    In Dermatology, research,
  5. The Embiggening of NLP - Part 3 - Fine-tuning
    In LLM Intro Series, LLM, tutorials,
  6. The Embiggening of NLP - Part 2 - LARGE Language Models
    In LLM Intro Series, LLM, tutorials,