| ▲ | madhatter999 2 hours ago | ||||||||||||||||||||||||||||||||||||||||||||||
Makes sense when you consider what type of data Google had available in abundance. Natural written language (e.g., Docs, Gmail, Books) and natural spoken language (e.g., YouTube). One could argue that Google Colab would supply the training data for better coding performance. I would argue that Colab is mostly used for non-complex (e.g., small number of variables) and self-contained (i.e., runnable in one page) code that can’t train a model for multi-folder and multi-page projects that rely on global connections, which real-life coding would often require. | |||||||||||||||||||||||||||||||||||||||||||||||
| ▲ | danpalmer 2 hours ago | parent | next [-] | ||||||||||||||||||||||||||||||||||||||||||||||
According to public material, Google does not train Gemini on Gmail or Docs: https://blog.google/products-and-platforms/products/gmail/pr... https://proton.me/business/blog/google-docs-ai-scraping | |||||||||||||||||||||||||||||||||||||||||||||||
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| ▲ | blauditore 2 hours ago | parent | prev [-] | ||||||||||||||||||||||||||||||||||||||||||||||
Google also has millions of lines of code in several languages written over decades. Probably access to more non-public (quality) code than most other companies in the world. | |||||||||||||||||||||||||||||||||||||||||||||||