# How good are LLMs at fixing their mistakes? A chatbot arena experiment with Keras and TPUs

DevFeed: [How good are LLMs at fixing their mistakes? A chatbot arena experiment with Keras and TPUs](<https://devfeed.tech/articles/how-good-are-llms-at-fixing-their-mistakes-a-chatbot-arena-experiment-with-keras-and-tpus-7300.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/keras-chatbot-arena>)

Author: Martin Görner

Published: 2024-12-05T00:00:00Z

Content type: opinion

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Chat Bot](<https://devfeed.tech/topics/chatbot.md>), [gradio](<https://devfeed.tech/topics/gradio.md>)

Tags: [chatbots](<https://devfeed.tech/tags/chatbots.md>), [gradio](<https://devfeed.tech/tags/gradio.md>), [hallucinations](<https://devfeed.tech/tags/hallucinations.md>), [keras](<https://devfeed.tech/tags/keras.md>), [llm](<https://devfeed.tech/tags/llm.md>), [llms](<https://devfeed.tech/tags/llms.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [spaces](<https://devfeed.tech/tags/spaces.md>), [tpu](<https://devfeed.tech/tags/tpu.md>)

## AI overview

The author describes a small experiment testing whether LLMs can correct code-generation mistakes after receiving feedback in plain English. The setup uses a mobile-assistant prompt that requires single-line executable Python API calls and compares conversations with multiple chatbots in a Gradio interface.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.