Welcome to Learning at Lambert Labs session #10. This week, Tom Schafer shows us how to train machine learning models on language and actually produce code snippets using trained neural networks.

In Today’s Learning Session:

  • Quick breakdown of neural networks, deep learning and transformers
  • What are language models?
  • Demonstration of language model using Keras library
  • Training and testing the model using Django docs
  • OpenAI GPT3 trained model introduction from OpenAPI
  • GPT3’s own news article
  • Code generation: Python, React, SQL
  • Industry disrupting / ethics of machine learning?
  • Q&A from our developers

🔊 Subscribe to our channel for weekly learning sessions! https://www.youtube.com/channel/UCi7G5sY0IWqSNUMnRptuJmw

Like and comment on our other videos and posts and if you find Machine Learning in Python interesting, check out our Python page!