Automatic Reasoning and Tool-Use

Automatic Reasoning and Tool-Use (ART) represents a significant advancement in AI's problem-solving capabilities. By automating the generation of intermediate reasoning steps and integrating the use of external computational tools, ART enables AI to tackle complex, multifaceted tasks. This approach not only enhances the AI's core functionalities but also allows it to access and utilize a broader range of information, making its problem-solving process more comprehensive and accurate.

Prompt example

Assess the impact of converting a company's fleet of 50 gasoline cars to electric vehicles on CO2 emissions, considering average distances and emissions rates.

Output

Using ART, the model first calculates the average annual CO2 emissions per gasoline car, estimated at 4.6 metric tons. For 50 cars, this totals 230 tons. Then, it assesses electric vehicles, accounting for electricity sources, estimating an equivalent emission of 1.2 tons per car annually. For 50 cars, this is 60 tons. The switch to electric vehicles could reduce emissions by 170 metric tons annually. This analysis integrates external data on emission rates and electric vehicle efficiency.

In this example, ART performs a detailed analysis by first calculating emissions from gasoline cars and then comparing them with electric vehicles. By integrating external data, the model provides specific, quantifiable insights into the environmental impact of switching to electric vehicles, demonstrating ART's ability to enhance AI's analytical capabilities with precise data-driven reasoning.