How to generate code using Machine Learning? — #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
• 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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