Latent Space: The AI Engineer Podcast
Cursor.so: The AI-first Code Editor — with Aman Sanger of Anysphere
User's personalized AI podcast notes AI-generated based on their snips
AI-generated based on their snips
1. Training models from scratch on large amounts of code yields similar results as fine-tuned models.
2. Language learning benefits are helpful for coding.
3. Copilot requires more data than code to create a useful model.
4. Scaling and regularization techniques were unsuccessful in training a larger model.
5. Testing models with prompts show limitations.
6. There were no transfer benefits for the final codecs model trained on 100 billion tokens of Python code.
7. Benefits from language or learning language are helpful with code.
8. Dealing with much less data than code in CAD makes training a useful model challenging.
9. Scaling and regularization techniques were unsuccessful in training a useful model with limited CAD data.
10. There is no transfer when testing models.
