safe jacinth
I am trying to implement this https://python.langchain.com/docs/integrations/toolkits/python
However, when comparing the gpt-4 and the gpt-3.5-turbo-0613 the newer model is unable to solve the task. while the old model does.
These are the responses I get from both models whne asking for the 10th fibonacci number:
gpt-3.5-turbo-0613
```Invoking: Python_REPL with `def fibonacci(n):
if n <= 0:
return 0
elif n == 1:
return 1
else:
return fibonacci(n-1) + fibonacci(n-2)
fibonacci(10)`
The 10th Fibonacci number is 55.```
gpt-4
```Invoking: Python_REPL with `def fibonacci(n):
if n<=0:
return 'Input should be positive integer'
elif n==1:
return 0
elif n==2:
return 1
else:
fibo=[0,1]
while len(fibo)<n:
fibo.append(fibo[len(fibo)-1]+fibo[len(fibo)-2])
return fibo[-1]
print(fibonacci(10))`
34
The 10th fibonacci number is 34.```
Any idea why is this?
