How to generate code using Machine Learning? – Learning at Lambert Labs #10

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

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