Combining the open-source Cohere Wikipedia embeddings with LangChain tools and OpenAI’s ChatGPT Large Language Model to create an unofficial exploration of a Wikipedia Q&A Bot (A.W.A.). Wikipedia Is Popular and Useful Wikipedia was invented to freely store and provide access to the world's knowledge. It is an online encyclopedia that is written and maintained by…

An extended, detailed primer for the Keras Deep Learning Framework and Convolutional Neural Networks with Examples in Python for Computer Vision Intro to Machine Learning with Keras Machine learning is the flavour of AI in which we train an algorithm to statistically infer a mapping between a set of features and a set of labels. The…

This is the second instalment in a series about Bayesian Inference with Python. The primer for the series starts with Bayesian reasoning and finales with a rudimentary MCMC operations Bayes to MCMC with Examples in Python Understand the components of Bayesian inference, and how it relates to the output of an MCMC operation.exowanderer.medium.com We will recap the bare minimum from that article here, in order to explore the Metropolis-Hastings (MH) Algorithm for MCMC. The…

Bayesian inference is a method of statistical inference in which Bayes’ theorem is applied to update the probability for a hypothesis as more “evidence” — i.e., data — becomes available. Bayesian inference is an important technique in statistical modelling, scientific experiments, machine learning, and artificial intelligence. Bayesian inference is used…

I recently read a few articles about ChatGPT writing for Medium. This led me to wonder how low ChatGPT can make the threshold for someone writing their very first Medium article. As such, below is my very first medium article. I am left to wonder if this is the human…