If that other program is, say, a python terminal then can’t LLMs be trained to use agents to solve problems outside their area of expertise?
I just tested chatgpt to write a python program to return the frequency of letters in a string, then asked it for the number of L’s in the longest placename in Europe.
‘’‘’
String to analyze
text = “Llanfairpwllgwyngyllgogerychwyrndrobwllllantysiliogogogoch”
Convert to lowercase to count both ‘L’ and ‘l’ as the same
text = text.lower()
Dictionary to store character frequencies
frequency = {}
Count characters
for char in text:
if char in frequency:
frequency[char] += 1
else:
frequency[char] = 1
‘agents’ just interact with other programs.
If that other program is, say, a python terminal then can’t LLMs be trained to use agents to solve problems outside their area of expertise?
I just tested chatgpt to write a python program to return the frequency of letters in a string, then asked it for the number of L’s in the longest placename in Europe.
‘’‘’
String to analyze
text = “Llanfairpwllgwyngyllgogerychwyrndrobwllllantysiliogogogoch”
Convert to lowercase to count both ‘L’ and ‘l’ as the same
text = text.lower()
Dictionary to store character frequencies
frequency = {}
Count characters
for char in text: if char in frequency: frequency[char] += 1 else: frequency[char] = 1
Show the number of 'l’s
print(“Number of 'l’s:”, frequency.get(‘l’, 0))
‘’’
I was impressed until
Output
Number of 'l’s: 16
Yeah it turns out to be useless!