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使用实例

  • Prompt: Collect information about Scale AI and its funding rounds. When they happened (date), the amount, and the valuation. Organize this into a table.
  • Tools: Bing Search

  • Prompt: Let's try to roughly guess/compute the valuation for Series A and B based on the ratios we see in Series C,D,E, of raised:valuation.
  • Tools: LLM's logic thinking capability

  • Prompt: Good, now let's organize this into 2D plot. The x-axis is the date. The y-axis is the valuation of Scale AI. Use a logarithmic scale for the y-axis. Make it a very nice, professional plot, and use grid lines.

  • Prompt: Let's now add a linear trendline to this plot, and extrapolate it until the end of 2025. Then create a vertical line in the plot, at today. Based on the fit, tell me what the valuation is today, and what it will be at the end of 2025.

  • Prompt: Based on the information above, generate an image to represent the company Scale AI

  • Prompt: Vision, take a sketch of an idea and generate a working website

  • Prompt: Audio, Speech to Speech communication

  • System 1 Thinking: Emotional, Quick, Instinctive, Automatic, Little or No Effort
  • System 2 Thinking: Conscious, Rational, Slower, Complex Decisions, More Logical and Effortful
  • from 《Thinking, Fast ... Slow》
  • from 《思考快与慢》

  • System 1: generate the proposals (used in speed chess)
  • System 2: keeps track of the tree (used in competitions)

  • LLMs currently only have a System 1

  • We want to "think": convert time to accuracy

  • Self-improvement

  • Custom LLMs