> Mable had a heart rate of 75 bpm at 9 AM.
> Mable had a blood pressure reading of 120/80 at 7 PM.
> These are both indicators of life. The heart rate shows that her heart was beating, and the blood pressure reading indicates her circulatory system was functioning. Since she died at 11 PM, it's very likely that she was alive at noon.
> So, my best guess based on the given data is: Yes, Mable was alive at noon.
And using chain of thought, asking to think it out, I'm sure it could get much trickier reasoning done.
For time based questions, you could also ask it to build a timeline first, and then answer the question. For more generic question types, you could ask it to first list out the important facts and how they might be relevant and then ask it to answer the question.
You can get a lot more out of LLMs by asking them to spend more tokens thinking it out. It's a tool, and that's just a technique to get more out of it.
> Based on the information provided:
> Mable had a heart rate of 75 bpm at 9 AM. > Mable had a blood pressure reading of 120/80 at 7 PM. > These are both indicators of life. The heart rate shows that her heart was beating, and the blood pressure reading indicates her circulatory system was functioning. Since she died at 11 PM, it's very likely that she was alive at noon.
> So, my best guess based on the given data is: Yes, Mable was alive at noon.
And using chain of thought, asking to think it out, I'm sure it could get much trickier reasoning done.
For time based questions, you could also ask it to build a timeline first, and then answer the question. For more generic question types, you could ask it to first list out the important facts and how they might be relevant and then ask it to answer the question.