A famous blogger asked me to ghostwrite a summary of the recent trends in machine learning. The summary was based on a Reddit thread.
For this summary, I researched the technologies mentioned in the thread since most of them were very specific and known to a very narrow audience. According to the briefing, my task was to explain these concepts having in mind a person with quite a general knowledge of machine learning and artificial intelligence.
I enjoyed writing this piece since it pointed me to the new trends I had not known yet. I had to research and put in simple words such advanced subfields, as:
- neuro-linguistic programming
- autoregressive language models
- generative pre-trained transformer
- deep learning
- graph neural networks
- modeling of complex graph structures
- node classification in a graph
- AutoML / meta-learning
- neural ordinary differential equations
- neuromorphic engineering
- Internet of Things
- computer vision
- reinforcement learning
This assignment has enriched my knowledge, and I am always eager to find such challenging projects.