Four Takeaways on the Race to Amass Data for A.I.
Briefly

The success of A.I. depends on data. Large language models like the basis of chatbots become more accurate and powerful with more data, similar to how a student learns by reading more materials.
AI models, such as OpenAI's GPT-3, have been trained on billions of tokens like words or pieces of words, with newer models using trillions of tokens sourced from websites, books, and articles.
OpenAI's groundbreaking AI model was trained on vast amounts of data from billions of websites, books, and Wikipedia articles, indicating the critical role of diverse data sources in enhancing AI capabilities.
Read at www.nytimes.com
[
add
]
[
|
|
]