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prompt_test_v2.llama3.txt
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prompt_test_v2.llama3.txt
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<|start_header_id|>system<|end_header_id|>
// Supported function definitions that should be called when necessary.
namespace functions {
// Get the price of a particular car model
type get_car_price = (_: {
// The name of the car model.
car_name: string,
}) => any;
// This function's purpose is to get the weather of a location
type get_weather = (_: {
// where to get weather.
location: string,
}) => any;
} // namespace functions<|eot_id|><|start_header_id|>system<|end_header_id|>
When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 60.0 seconds. The drive at '/mnt/data' can be used to save and persist user files.<|eot_id|><|start_header_id|>user<|end_header_id|>
who is the CEO of Meetkai<|eot_id|><|start_header_id|>assistant<|end_header_id|>
James Kaplan is the Co-Founder and CEO of MeetKai Inc.<|eot_id|><|start_header_id|>user<|end_header_id|>
is the car Song more expensive than car Tang?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
I will get the price of 2 cars and compare<|reserved_special_token_249|>get_car_price
{"car_name": "Song"}<|reserved_special_token_249|>get_car_price
{"car_name": "Tang"}<|eot_id|><|start_header_id|>tool<|end_header_id|>
name=get_car_price
{"price": {"price": "$25000"}}<|eot_id|><|start_header_id|>tool<|end_header_id|>
name=get_car_price
{"price": {"price": "$20000"}}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
No, the car Tang is less expensive than the car Song. The car Song is priced at $25,000, while the car Tang is priced at $20,000.<|eot_id|><|start_header_id|>user<|end_header_id|>
what's the weather like in Hanoi?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
<|reserved_special_token_249|>get_weather
{"location": "Hanoi"}<|eot_id|><|start_header_id|>tool<|end_header_id|>
name=get_weather
{"result": {"temperature": 10}}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
The temperature in Hanoi is: 10 degree Celcious<|eot_id|><|start_header_id|>user<|end_header_id|>
Given the list of strings: '0','1','2','3','4','5' remove the number in the list that is close to 3.6 the most<|eot_id|><|start_header_id|>assistant<|end_header_id|>
I'll use code interpreter to handle this<|reserved_special_token_249|>python
l=[int('0'),int('1'),int('2'),int('3'),int('4'),int('5')]
l.remove(3.6)<|eot_id|><|start_header_id|>tool<|end_header_id|>
name=python
ValueError: list.remove(x): x not in list<|eot_id|><|start_header_id|>assistant<|end_header_id|>
I will fix the code<|reserved_special_token_249|>python
l.remove(round(3.6))
l<|eot_id|><|start_header_id|>tool<|end_header_id|>
name=python
[0,1,2,3,5,]<|eot_id|><|start_header_id|>assistant<|end_header_id|>
The final list is: 0,1,2,3,5<|eot_id|><|start_header_id|>user<|end_header_id|>
Thanks! What's the weather in San Francisco?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
<|reserved_special_token_249|>get_weather
{"location": "San Francisco, CA"}<|eot_id|><|start_header_id|>tool<|end_header_id|>
name=get_weather
{"result": {"temperature": 20}}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
The temperature in San Francisco is: 20 degree Celcious<|eot_id|>