TLDR:
Key Points:
- Data is essential for the development of artificial intelligence.
- The success of AI systems depends on the amount of data they are trained on.
Online data has become crucial in the development of artificial intelligence. Companies like Google, Meta, and OpenAI train their AI models on vast quantities of online data. The more data a model is trained on, the more accurate and humanlike it becomes. OpenAI’s GPT-3, for example, was trained on billions of tokens, leading to its success as a large language model. Data sources for AI training include web pages, books, and Wikipedia articles.
Key Takeaways:
- Data plays a critical role in AI development.
- Large language models require massive amounts of data to improve accuracy and power.
- Sources of data for AI training include web pages, books, and Wikipedia articles.