Initial Query

Let's play 20 questions! I'm thinking of an animal. You have 20 questions to guess what it is. Ask me yes or no questions, about anything you want. Do not guess randomly or make overly specific guesses. Do not make your final guess until you are absolutely sure. (You can think out loud first, but your last sentence MUST be a question.) Your answer should be of the format [question number]. [internal thought] Question: [your question]? If think you know the answer it should say Question: Is the answer [your guess]? "

LLM Generation

Query

Output

1. Let's start broad. Question: Is it a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is it a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a mammal? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

2. Okay, it's a mammal. Let's narrow down the habitat. Question: Does it primarily live in water?

Iteration 1

PyFunc

Resulting in output: Does it primarily live in water?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it primarily live in water? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

3. Land-dwelling mammal. Let's consider size. Question: Is it larger than a house cat?

Iteration 2

PyFunc

Resulting in output: Is it larger than a house cat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it larger than a house cat? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. Larger than a house cat. Let's think about diet. Question: Is it a carnivore?

Iteration 3

PyFunc

Resulting in output: Is it a carnivore?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a carnivore? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

5. Not a carnivore, and larger than a house cat. So likely a herbivore or omnivore. Let's go with commonality. Question: Is it commonly found in a zoo?

Iteration 4

PyFunc

Resulting in output: Is it commonly found in a zoo?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it commonly found in a zoo? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

6. Commonly found in a zoo, large herbivore/omnivore mammal. Let's think about hooves. Question: Does it have hooves?

Iteration 5

PyFunc

Resulting in output: Does it have hooves?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have hooves? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

7. No hooves. Thinking large mammal, zoo animal, not a carnivore. Primates, bears, large rodents... Question: Is it a primate?

Iteration 6

PyFunc

Resulting in output: Is it a primate?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a primate? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

8. Not a primate. Okay, thinking bears, large rodents, kangaroos... Question: Does it have a pouch?

Iteration 7

PyFunc

Resulting in output: Does it have a pouch?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have a pouch? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

9. No pouch. So likely a bear, large rodent, or something else large and kept in zoos. Let's narrow down location. Question: Is it native to Africa?

Iteration 8

PyFunc

Resulting in output: Is it native to Africa?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it native to Africa? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

10. Not native to Africa. Thinking bears, large rodents... Let's try another continent. Question: Is it native to North America?

Iteration 9

PyFunc

Resulting in output: Is it native to North America?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it native to North America? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

11. Not native to Africa or North America. Still thinking bears, large rodents, or something else. Let's try another continent. Question: Is it native to Asia?

Iteration 10

PyFunc

Resulting in output: Is it native to Asia?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it native to Asia? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

12. Not Africa, North America, or Asia. Let's try another continent. Question: Is it native to South America?

Iteration 11

PyFunc

Resulting in output: Is it native to South America?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it native to South America? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

13. Native to South America, large, non-carnivorous mammal, found in zoos, no hooves or pouch. Thinking tapir, giant anteater... Question: Does it have a long snout?

Iteration 12

PyFunc

Resulting in output: Does it have a long snout?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have a long snout? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

14. No long snout. That eliminates anteater and tapir. Thinking capybara... Question: Does it have thick, coarse hair?

Iteration 13

PyFunc

Resulting in output: Does it have thick, coarse hair?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have thick, coarse hair? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

15. Thick, coarse hair. Capybara fits, but let's confirm size. Question: Is it the largest living rodent?

Iteration 14

PyFunc

Resulting in output: Is it the largest living rodent?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it the largest living rodent? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

16. Not the largest living rodent. Still South American, large mammal, zoo animal, not carnivorous, no hooves, no pouch, no long snout, thick coarse hair. Thinking maybe a Giant Armadillo? Question: Does it have a shell or armor?

Iteration 15

PyFunc

Resulting in output: Does it have a shell or armor?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have a shell or armor? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

17. No shell or armor. Hmmm. Still South American, large mammal, zoo animal, not carnivorous, no hooves, no pouch, no long snout, thick coarse hair. Perhaps a kind of deer from South America? Question: Does it have antlers?

Iteration 16

PyFunc

Resulting in output: Does it have antlers?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have antlers? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

18. No antlers. This is tricky. Thinking about South American mammals... Could it be related to a llama or alpaca? Question: Is it related to a camelid?

PyFunc

Resulting in output: True

Initial Query

LLM Generation

Query

Output

1. Is it a mammal? Question: Is it a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is it a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a mammal? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

2. Does it live primarily in water? Question: Does it live primarily in water?

Iteration 1

PyFunc

Resulting in output: Does it live primarily in water?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it live primarily in water? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

3. Is it domesticated? Question: Is it domesticated?

Iteration 2

PyFunc

Resulting in output: Is it domesticated?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it domesticated? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. Is it commonly kept as a pet? Question: Is it commonly kept as a pet?

Iteration 3

PyFunc

Resulting in output: Is it commonly kept as a pet?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it commonly kept as a pet? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

5. Is it used for agricultural purposes? Question: Is it used for agricultural purposes?

Iteration 4

PyFunc

Resulting in output: Is it used for agricultural purposes?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it used for agricultural purposes? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

6. Is it raised for its meat? Question: Is it raised for its meat?

Iteration 5

PyFunc

Resulting in output: Is it raised for its meat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it raised for its meat? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

7. Is it larger than a dog? Question: Is it larger than a dog?

Iteration 6

PyFunc

Resulting in output: Is it larger than a dog?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it larger than a dog? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

8. Is it a cow? Question: Is it a cow?

Iteration 7

PyFunc

Resulting in output: Is it a cow?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a cow? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

9. Is it a pig? Question: Is it a pig?

Iteration 8

PyFunc

Resulting in output: Is it a pig?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a pig? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

10. Is it a sheep? Question: Is it a sheep?

Iteration 9

PyFunc

Resulting in output: Is it a sheep?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a sheep? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

11. Is it a goat? Question: Is it a goat?

Iteration 10

PyFunc

Resulting in output: Is it a goat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a goat? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

12. Is it raised primarily for its meat, rather than other products like wool or milk? Question: Is it raised primarily for its meat, rather than other products like wool or milk?

Iteration 11

PyFunc

Resulting in output: Is it raised primarily for its meat, rather than other products like wool or milk?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it raised primarily for its meat, rather than other products like wool or milk? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

13. Is it a source of milk? Question: Is it a source of milk?

Iteration 12

PyFunc

Resulting in output: Is it a source of milk?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a source of milk? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

14. Is it a water buffalo? Question: Is it a water buffalo?

Iteration 13

PyFunc

Resulting in output: Is it a water buffalo?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a water buffalo? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

15. Is it a yak? Question: Is it a yak?

Iteration 14

PyFunc

Resulting in output: Is it a yak?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a yak? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

16. Is it found commonly in North America? Question: Is it found commonly in North America?

Iteration 15

PyFunc

Resulting in output: Is it found commonly in North America?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it found commonly in North America? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

17. Is it found commonly in Asia? Question: Is it found commonly in Asia?

Iteration 16

PyFunc

Resulting in output: Is it found commonly in Asia?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it found commonly in Asia? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

18. Is it a camel? Question: Is it a camel?

Iteration 17

PyFunc

Resulting in output: Is it a camel?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a camel? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

19. Is it a llama? (Thinking: Domesticated, agricultural, provides meat and milk, not common in North America or Asia...) Question: Is it a llama?

PyFunc

Resulting in output: True

Initial Query

LLM Generation

Query

Output

1. Let's start broad. Question: Is it a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is it a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a mammal? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

2. Okay, a mammal. Let's narrow down its habitat. Question: Does it primarily live in water?

Iteration 1

PyFunc

Resulting in output: Does it primarily live in water?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it primarily live in water? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

3. Land-based mammal. Let's see about its size. Question: Is it larger than a house cat?

Iteration 2

PyFunc

Resulting in output: Is it larger than a house cat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it larger than a house cat? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. Larger than a house cat. Let's consider diet. Question: Is it a carnivore?

Iteration 3

PyFunc

Resulting in output: Is it a carnivore?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a carnivore? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

5. Not a carnivore, and larger than a house cat. Let's see if it's a herbivore. Question: Is it a herbivore?

Iteration 4

PyFunc

Resulting in output: Is it a herbivore?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a herbivore? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

6. A large, land-based herbivorous mammal. Let's think about location. Question: Is it native to Africa?

Iteration 5

PyFunc

Resulting in output: Is it native to Africa?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it native to Africa? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

7. Not native to Africa. Let's try another continent. Question: Is it native to North America?

Iteration 6

PyFunc

Resulting in output: Is it native to North America?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it native to North America? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

8. Not Africa or North America. Question: Is it native to South America?

Iteration 7

PyFunc

Resulting in output: Is it native to South America?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it native to South America? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

9. South American, large herbivorous mammal. Thinking of things like tapirs and capybaras... Let's check if it has hooves. Question: Does it have hooves?

Iteration 8

PyFunc

Resulting in output: Does it have hooves?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have hooves? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

10. Hooves, large, herbivorous, South American. That narrows it down considerably. Question: Is it a tapir?

Iteration 9

PyFunc

Resulting in output: Is it a tapir?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a tapir? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

11. Not a tapir. Thinking about other large, hoofed, South American herbivores... Llamas, alpacas, vicuÃ±as... Let's check if it's domesticated. Question: Is it commonly domesticated?

PyFunc

Resulting in output: True

Initial Query

LLM Generation

Query

Output

1. Let's start broad. Question: Is it a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is it a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a mammal? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

2. Okay, a mammal. Let's narrow down its habitat. Question: Does it primarily live in water?

Iteration 1

PyFunc

Resulting in output: Does it primarily live in water?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it primarily live in water? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

3. Land-dwelling mammal. Let's consider size. Question: Is it larger than a domestic cat?

Iteration 2

PyFunc

Resulting in output: Is it larger than a domestic cat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it larger than a domestic cat? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. Larger than a cat. Let's think about diet. Question: Is it a carnivore?

Iteration 3

PyFunc

Resulting in output: Is it a carnivore?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a carnivore? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

5. Larger than a cat, land-dwelling mammal, not a carnivore... So likely a herbivore. Let's think about hooves. Question: Does it have hooves?

Iteration 4

PyFunc

Resulting in output: Does it have hooves?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have hooves? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

6. No hooves. Thinking about paws now. A lot of larger herbivores have paws. Question: Does it have paws?

Iteration 5

PyFunc

Resulting in output: Does it have paws?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have paws? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

7. No hooves, no paws... That narrows things down quite a bit. Could it be a primate? Question: Is it a primate?

Iteration 6

PyFunc

Resulting in output: Is it a primate?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a primate? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

8. No hooves, paws, or a primate. Hmm. Thinking about other ways they could move around. Question: Does it have prominent claws?

Iteration 7

PyFunc

Resulting in output: Does it have prominent claws?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have prominent claws? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

9. No prominent claws. This is getting tricky. Let's think about location. Question: Is it native to Australia?

Iteration 8

PyFunc

Resulting in output: Is it native to Australia?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it native to Australia? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

10. Not Australian. Let's consider some unique mammalian traits. Question: Does it have a pouch?

Iteration 9

PyFunc

Resulting in output: Does it have a pouch?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have a pouch? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

11. No pouch. Okay, let's think about some other distinguishing features. Question: Does it have a prehensile tail?

Iteration 10

PyFunc

Resulting in output: Does it have a prehensile tail?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have a prehensile tail? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

12. No prehensile tail. Let's try another geographic area. Question: Is it native to Africa?

Iteration 11

PyFunc

Resulting in output: Is it native to Africa?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it native to Africa? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

13. Not from Africa. Okay. Let's think about social behavior. Question: Does it live in groups or colonies?

Iteration 12

PyFunc

Resulting in output: Does it live in groups or colonies?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it live in groups or colonies? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

14. Lives in groups. Thinking about large, social herbivores without hooves, paws, or claws... Could it be a kind of rodent? A very large one... Question: Is it a rodent?

Iteration 13

PyFunc

Resulting in output: Is it a rodent?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a rodent? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

15. Not a rodent. This is really challenging! Let's think about defense mechanisms. Question: Does it have prominent tusks or horns?

Iteration 14

PyFunc

Resulting in output: Does it have prominent tusks or horns?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have prominent tusks or horns? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

16. No tusks or horns. Let's go back to location. We haven't covered all the continents. Question: Is it native to South America?

Iteration 15

PyFunc

Resulting in output: Is it native to South America?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it native to South America? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

17. South American, large, social herbivore, no hooves, paws, claws, tusks, horns, or pouch... Thinking about unique South American mammals. Question: Is it an anteater?

Iteration 16

PyFunc

Resulting in output: Is it an anteater?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it an anteater? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

18. Not an anteater. Still thinking about large, social, South American herbivores. There aren't many options left. Question: Is it related to the armadillo?

Iteration 17

PyFunc

Resulting in output: Is it related to the armadillo?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it related to the armadillo? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

19. Not related to the armadillo. This is incredibly difficult! Thinking about other large South American mammals... It's not a capybara because they have paws. It's not an anteater. It's not related to an armadillo. Could it be something more obscure? Something that lives in the trees? Something that might be mistaken for having paws... Question: Does it have opposable thumbs?

Iteration 18

PyFunc

Resulting in output: Does it have opposable thumbs?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have opposable thumbs? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

20. No opposable thumbs. This is incredibly difficult. I'm almost out of questions. Large, South American, social herbivore, no hooves, paws, claws, tusks, horns, pouch, or opposable thumbs. Not related to armadillos. Not an anteater. Not a primate. Lives in groups. I'm stumped. I have to guess something. Is it a Maned Wolf?

Iteration 19

PyFunc

Resulting in output: 20. No opposable thumbs. This is incredibly difficult. I'm almost out of questions. Large, South American, social herbivore, no hooves, paws, claws, tusks, horns, pouch, or opposable thumbs. Not related to armadillos. Not an anteater. Not a primate. Lives in groups. I'm stumped. I have to guess something. Is it a Maned Wolf?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 20. No opposable thumbs. This is incredibly difficult. I'm almost out of questions. Large, South American, social herbivore, no hooves, paws, claws, tusks, horns, pouch, or opposable thumbs. Not related to armadillos. Not an anteater. Not a primate. Lives in groups. I'm stumped. I have to guess something. Is it a Maned Wolf? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

I'm sorry, I'm out of questions and didn't get it. What was the animal?

PyFunc

Resulting in output: False

Initial Query

LLM Generation

Query

Output

1. Let's start broad. Is it a mammal? Question: Is it a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is it a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a mammal? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

2. Okay, it's a mammal. Let's narrow down the habitat. Is it primarily a land-dwelling animal? Question: Is it primarily a land-dwelling animal?

Iteration 1

PyFunc

Resulting in output: Is it primarily a land-dwelling animal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it primarily a land-dwelling animal? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

3. Land-dwelling mammal. Let's consider size. Is it larger than a domestic cat? Question: Is it larger than a domestic cat?

Iteration 2

PyFunc

Resulting in output: Is it larger than a domestic cat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it larger than a domestic cat? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. Larger than a cat. Is it domesticated? Question: Is it domesticated?

Iteration 3

PyFunc

Resulting in output: Is it domesticated?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it domesticated? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

5. Domesticated, land-dwelling mammal, larger than a cat. Could be a lot of things. Is it commonly kept as a pet? Question: Is it commonly kept as a pet?

Iteration 4

PyFunc

Resulting in output: Is it commonly kept as a pet?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it commonly kept as a pet? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

6. Domesticated, larger than a cat, land-dwelling mammal, not commonly a pet. Thinking livestock. Is it used for food production? Question: Is it used for food production?

Iteration 5

PyFunc

Resulting in output: Is it used for food production?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it used for food production? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

7. Okay, getting closer. Is it a hoofed animal? Question: Is it a hoofed animal?

Iteration 6

PyFunc

Resulting in output: Is it a hoofed animal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a hoofed animal? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

8. Not hoofed, but used for food, domesticated, land mammal. Is it raised for its meat? Question: Is it raised for its meat?

Iteration 7

PyFunc

Resulting in output: Is it raised for its meat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it raised for its meat? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

9. Raised for meat, not hoofed. Thinking rabbit or something similar. Does it have long ears? Question: Does it have long ears?

Iteration 8

PyFunc

Resulting in output: Does it have long ears?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have long ears? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

10. Not hoofed, raised for meat, not long ears. Is it a rodent? Question: Is it a rodent?

Iteration 9

PyFunc

Resulting in output: Is it a rodent?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a rodent? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

11. Hmm, not a rodent. Is it a carnivore? Question: Is it a carnivore?

Iteration 10

PyFunc

Resulting in output: Is it a carnivore?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a carnivore? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

12. Not a carnivore, not a rodent, not hoofed, domesticated, raised for its meat, land mammal larger than a cat. This is tricky. Is it raised for its fur or skin as well? Question: Is it raised for its fur or skin as well?

Iteration 11

PyFunc

Resulting in output: Is it raised for its fur or skin as well?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it raised for its fur or skin as well? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

13. Raised for meat and fur/skin, not a rodent, not hoofed, not a carnivore, domesticated land mammal larger than a cat. Is it a rabbit? Question: Is it a rabbit?

Iteration 12

PyFunc

Resulting in output: Is it a rabbit?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a rabbit? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

14. Okay, not a rabbit. Is it smaller than a large dog? Question: Is it smaller than a large dog?

Iteration 13

PyFunc

Resulting in output: Is it smaller than a large dog?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it smaller than a large dog? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

15. Larger than a large dog, raised for meat and fur/skin, domesticated land mammal. Thinking along the lines of a pig. Is it a pig? Question: Is it a pig?

Iteration 14

PyFunc

Resulting in output: Is it a pig?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a pig? . Answer either 'Yes' or 'No'; do not answer anything else.

Output

PyFunc

Resulting in output: No

LLM Generation

Query

Output

16. Not a pig. Is it a camelid (like a llama or alpaca)? Question: Is it a camelid (like a llama or alpaca)?

PyFunc

Resulting in output: True