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 🔊 Subscribe to our channel for weekly learning sessions! https://www.youtube.com/channel/UCi7G5sY0IWqSNUMnRptuJmw 🔗 Lambert Labs Links 🔗 : 🌎 Website: https://lambertlabs.com/​​ 📱 Twitter: https://twitter.com/lambertlabs​ 📝 LinkedIn: https://www.linkedin.com/company/lambertlabs 📂 GitHub: https://github.com/lambertlabs​​ ⚡ Please leave a LIKE and SUBSCRIBE for more content! ⚡ ⭐ Tags ⭐ - Neural networks - Machine learning - GPT3 - Keras - Language model - Python - Code generation