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Hi, I'm Chris!

I know a thing or two about AI and machine learning. Welcome to MachineCurve.com.

I learn best when teaching others. That's why I decided to start writing about machine learning in May 2019. At the time, deep learning was very hyped, and Transformer architectures were just around the corner.

On this website, you will find all my learnings. They are useful to people wanting to learn more about the fundamentals of machine learning and deep learning. People looking to get started with tools like TensorFlow and PyTorch can find useful information here, too.

Articles about Transformer architectures

Machine learning Transformer architectures, known for their attention mechanism, have revolutionized natural language processing and beyond. They have led to significant advancements in various tasks and have given rise to pre-trained models like BERT and GPT, making it easier to tackle complex NLP tasks with transfer learning and minimal data.

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Easy Object Detection with Python, HuggingFace Transformers and Machine Learning

January 4, 2022

DialoGPT: Transformers for Dialogues

March 16, 2021

Easy Chatbot with DialoGPT, Machine Learning and HuggingFace Transformers

March 16, 2021

Transformers for Long Text: Code Examples with Longformer

March 12, 2021

Longformer: Transformers for Long Sequences

March 11, 2021

Easy Table Parsing with TAPAS, Machine Learning and HuggingFace Transformers

March 10, 2021

The TAPAS Transformer: Table Parsing with BERT

March 5, 2021

Easy Causal Language Modeling with Machine Learning and HuggingFace Transformers

March 3, 2021

Easy Masked Language Modeling with Machine Learning and HuggingFace Transformers

March 2, 2021

What is ConvBERT and how does it work?

February 26, 2021

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