All Stories
MIT Statistical Learning Lecture 3 Features and Kernels
All apologies for the long delay here. Lots of stuff going on including, but not limited to: A 3-week journey to China The revival of the Boston chapter of PyData Various work-rel...
In Dec 06, 2019MIT 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, 2019MIT 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, 2019Sentiment 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, 2019Sustainability certification data release
Sustainability certification brand inventory
In Sep 05, 2019Matching 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, 2019Featured
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LLM Apps Part 5 - Even finer tuning - Quantization and LoRA
In LLM App Series, LLM, tutorials, -
LLM Apps Part 4 - Only the finest tuning
In LLM App Series, LLM, tutorials, -
LLM Apps Part 3 - RAGs to riches
In LLM App Series, LLM, tutorials, -
LLM technology for dermatology
In Dermatology, research, -
The Embiggening of NLP - Part 3 - Fine-tuning
In LLM Intro Series, LLM, tutorials, -
The Embiggening of NLP - Part 2 - LARGE Language Models
In LLM Intro Series, LLM, tutorials,