1.5M ratings
277k ratings

“The purpose of abstraction is not to be vague, but to create a new semantic level in which one can be absolutely precise.”
— Edsger W. Dijkstra

  • text-embedding-ada-002: reducing the cost by 75% to $0.0001 per 1K tokens.
  • gpt-3.5-turbo: reducing the cost of gpt-3.5-turbo’s input tokens by 25%. Developers can now use this model for just $0.0015 per 1K input tokens and $0.002 per 1K output tokens, which equates to roughly 700 pages per dollar.
  • gpt-3.5-turbo-16k: will be priced at $0.003 per 1K input tokens and $0.004 per 1K output tokens.
  • 「凡夫畏果,菩薩畏因,佛畏系統」
  • 已知機率大小的「風險」和無法評估機率大小的「不確定性」
  • 「自由的探礦者」和「穩定的銅礦工」
  • 「弱者報復,強者原諒,智者忽略」