What are transfomer models and how do they work?
Transformers are a new development in machine learning that have been making a lot of noise lately. They are incredibly good at keeping track of context, and this is why the text that they write makes sense. In this blog post, we will go over their architecture and how they work.
What is semantic search?
Semantic search is a very effective way to search documents with a query. In this article, you’ll learn how to use embeddings and similarity in order to build a semantic search model.
What is attention in Large Language Models?
A huge roadblock for language models is when a word can be used in two different contexts. This is precisely what self-attention models tackle.
What is similarity between sentences?
For large language models, it is crucial to know when two words, or two sentences, are similar or different. In this post we go over some different notions of similarity between pieces of text.
What are sentence embeddings?
Sentence and word embeddings are the bread and butter of language models. Here is a very simple introduction to what they are.
Splitting Data by Asking Questions: decision trees
A description of decision trees and the way to build them, using accuracy, the Gini impurity index, and information gain.
Using Probability to its Maximum: The naive Bayes model
A description of Bayes theorem and the naive Bayes model, used in a medical application.
A quick tour of machine learning
A survey of machine learning, including supervised learning (regression, classification) and unsupervised learning.
Shannon Entropy, Information Gain, and Picking Balls from Buckets
Shannon entropy and information gain explained with a game of placing balls into buckets
Why Generative Modeling Is Leading the Race to Practical Quantum Advantage
A survey of quantum generative machine learning and its potential for quantum advantage, with Zapata Computing
How Quantum Computing Solves A Fundamental Business Problem: Optimization
Applications of quantum computing in several areas of optimization, with Zapata Computing
Making the Quantum Computing Mindset Change from Algorithms to Workflows
The importance of workflows and the idea of hybrid computation (quantum + classical), with Zapata Computing