Background

Last week, the UK witnessed chaos over exam results (GCSE and A-levels).

The fiasco also provided a textbook case on how to build a biased algorithm.

Sadly, this will be the shape of things to come.

These decisions were overturned because of the backlash – but many more…

In my previous blog what is driving the innovation in nlp and gpt3 , I talked about how GPT3 has evolved from the basic transformer architecture.

Based on that blog, a start-up approached me saying that they had an idea which they felt could only be implemented by GPT3.

They were eagerly waiting to be approved (isn’t everybody - he…

2019 and 2020 have seen rapid strides in NLP

What’s driving the rapid strides in NLP and will this trend continue?

Here is a simple way to explain the rise and rise of NLP

Today, GPT-3 is displaying some amazing results. Some call it more like AGI (Artificial General Intelligence). Created by OpenAI with a large investment from Microsoft, GPT stands for Generative Pretrained Transformer

The three words offer a clue to the success and future…

In this post, we explore a new python package for feature engineering

Feature engineering is the process of using domain knowledge of the data to transform existing features or to create new variables from existing ones, for use in machine learning. Using feature engineering, we can pre-process raw data and make it suitable…