Good Example How to Use AI on The Right Way
Example how to implement reliable AI on the correct way. ... Read More
AI
About GPT-3. Again.
There is a lot of hype about GPT-3 since it appeared. Everybody was so excited about its results. It doesn’t need fine-tuning for some specific task, which is quite an impressive result. Also, it is very good at writing poems, writing code, and SQL queries at the same time. Isn’t ... Read More
JavaScript for DataScience
Like it or not, JavaScript is here to stay. Tensorflow models can be accessed by JavaScript, so do Torch ones. And node.js is something that allows to use JavaScript in command line. So, deal with it, on the proper way, and take the best of JavaScript. Of course, you don’t ... Read More
My AI Programming Heros During Corona Days
One Long Introduction Currently I’m working on Question and Answering system based on BERT. Some online resource for it: Since it’s announcement and open-sourcing, many optimizations and variations appeared. There are smaller but faster versions optimized for memory footprint and speed for mobile devices. Also, after some research, some variations ... Read More
GPT-3 … OMG
OpenIA released GPT-3. For the NLP enthusiasts it is not necessary to explain why does this matter 🙂 Anyway, few links on the toppic: Top editor’s note: Now it doesn’t need fine-tuning per specific task. They created a new milestone in NLP and AI in general. ... Read More
A Site with Interesting NLP Offerings Based on BERT
Few days ago I incidently found this on Internet: Highly interesting for NLP enthusijastics that want to unleash the power of BERT. ... Read More
Feature Engineering in Machine Learning
INTRODUCTION INTO FEATURE ENGINEERING Feature engineering is a process of preparing and changing input data to be ready to be used for training Machine Learning models. From the feature engineering point of view, there are the following types of features numerical categorical date and time mixed. Mixed features term can ... Read More