Python GPT

This page has 0 threads | Add post

Blogs

Finding our blogs useful? Please consider helping us to share more!

Reviewing some of the new task-specific Explore GPTs in ChatGPT Part three of an eight-part series of blogs
Chat GPT now incorporates a range of mini GPTs dedicated to different tasks. We put a few through their paces, so that you don't have to! Reviewing some of the task-specific GPTs now included in Chat GPT Escape the Haunt GPT Python GPT (this blog) Cartoonize Yourself GPT Hot Mods GPT Coloring Book Hero GPT Game Time GPT Cosmic Dream GPT

Reviewing some of the new task-specific Explore GPTs in ChatGPT

Part three of an eight-part series of blogs

Chat GPT now incorporates a range of mini GPTs dedicated to different tasks. We put a few through their paces, so that you don't have to!

Reviewing some of the task-specific GPTs now included in Chat GPT
Escape the Haunt GPT
Python GPT (this blog)
Cartoonize Yourself GPT
Hot Mods GPT
Coloring Book Hero GPT
Game Time GPT
Cosmic Dream GPT

Posted by Andy Brown on 01 March 2024

A dedicated GPT for writing Python code! This I had to try.

I've often wondered what is the longest chain of words that you can create where each word is an anagram of the previous one, plus one letter. For example:

A ==> AS ==> SAT ==> TEAS ==> SATED ==> SEDATE ==> DEBATES ==> ?

It's a tricky problem to code, so I thought I'd ask the Python GPT to do it for me:

The database of words could come from here, for example, but I can manage loading that myself.

Here was the initial rumination of the Python tool:

I think this will take a long time computationally, as it's building all possible links between two words which are near-anagrams of each other. It's a good approach, but my question is quite specific, and I think can be solved more quickly with a less sophisticated algorithm.

Here's the Python code generated:

from collections import defaultdict, deque

def preprocess_words(words):

sorted_words = defaultdict(list)

for word in words:

sorted_words[''.join(sorted(word))].append(word)

return sorted_words

def build_graph(words):

graph = defaultdict(list)

for word in words:

for i in range(len(word)):

subword = word[:i] + word[i+1:]

sorted_subword = ''.join(sorted(subword))

if sorted_subword in words:

graph[subword].append(word)

return graph

def find_longest_chain(graph):

max_path = []

memo = {}

def dfs(word, path):

nonlocal max_path

if word in memo:

return memo[word]

max_length = 1

max_path_local = [word]

for neighbor in graph[word]:

next_path = dfs(neighbor, path + [neighbor])

if 1 + next_path[0] > max_length:

max_length = 1 + next_path[0]

max_path_local = [word] + next_path[1]

memo[word] = (max_length, max_path_local)

if max_length > len(max_path):

max_path = max_path_local

return memo[word]

for word in graph:

dfs(word, [word])

return max_path

# Your list of words here

words = [...]

sorted_words = preprocess_words(words)

graph = build_graph(sorted_words)

longest_chain = find_longest_chain(graph)

print("Longest anagram chain:", longest_chain)

All this looks impressive. What the build_graph routine seems to do is to take each word, and add all possible slightly smaller anagrams to its lists. For example, for the word TEAS the program would generate:

All of these would be added to the list, because permutations of these words exist in English (eg SEA, TEA, SET and SAT). The find_longest_chain function can then follow every chain of words and find the chain which is longest.

This is seriously impressive. How on earth can this be possible? Not only has the Python GPT generated a sensible (if perhaps slightly OTT) algorithm, but it also seems to have implemented it correctly too. You'll need to be a Python programmer to sort out any bugs - if there are any - but help like this can save you a great deal of coding time. Awesome. And slightly scary.

Parts of this blog
Reviewing some of the task-specific GPTs now included in Chat GPT Escape the Haunt GPT Python GPT (this blog) Cartoonize Yourself GPT Hot Mods GPT Coloring Book Hero GPT Game Time GPT Cosmic Dream GPT

Some other pages relevant to the above blogs include:

AI (Artificial Intelligence) training classes

This blog has 0 threads

Add a new post

BLOGS BY TOPIC

BLOGS BY AUTHOR

Head office

London

Manchester