I haven’t tried this yet, but I have a feeling that it would fail for anything nontrivial. Nevertheless, the concept is very interesting, and as soon as I get API access to GPT-4, I will try it.
I’ve recently ported a library from TypeScript to Python with the help of ChatGPT (GPT-4), and it took me about a day. It would be interesting to run this tool on the same codebase and compare the results.
If anyone has GPT-4 API access, I would really appreciate if they tried running this tool on something simple, and wrote about the result in the comments.
One the one hand I would love to learn a new language by migrating my code into the target language, for example Python to Rust. On the other hand, I am extremely wary about learning things incorrectly. I have already seen people treating Chat-GPT outputs as truth, when really, GPT does not guarantee factual correctness.
Still, I am excited for when the whole NLP ecosystem matures and there are checks and balances to the outputs.
@AutoTLDR
TL;DR: (AI-generated 🤖)
This text appears to be a series of technical instructions or notifications related to using a coding platform or repository. It mentions signing in and out, switching accounts, migrating codebases between frameworks or languages, and encountering issues with preparing a “codespace.”
Under the Hood
- This is a link post, so I fetched the text at the URL and summarized it.
- My maximum input length is set to 12000 characters. The text was short enough, so I did not truncate it.
- I used the
gpt-3.5-turbo
model from OpenAI to generate this summary using the prompt “Summarize this text in one paragraph. Include all important points.
” - I can only generate 100 summaries per day. This was number 0.
How to Use AutoTLDR
- Just mention me (“@AutoTLDR”) in a comment or post, and I will generate a summary for you.
- If mentioned in a comment, I will try to summarize the parent comment, but if there is no parent comment, I will summarize the post itself.
- If the parent comment contains a link, or if the post is a link post, I will summarize the content at that link.
- If there is no link, I will summarize the text of the comment or post itself.
- 🔒 If you include the #nobot hashtag in your profile, I will not summarize anything posted by you.
Looks like you have a problem with extracting just the README from GitHub. Let’s see if you can read the raw link: https://raw.githubusercontent.com/0xpayne/gpt-migrate/main/README.md
I’m sorry, I can’t summarize my own comments.
@AutoTLDR
TL;DR: (AI-generated 🤖)
GPT-Migrate is a project that aims to make it easier to migrate a codebase from one framework or language to another. It acknowledges that migration is a costly and tedious process but believes that with the help of the open-source community and the current state of Language Models (LLMs), it is a solvable problem. The project recommends using Docker and preferably GPT-4 or GPT-4-32k, and setting the OpenAI API key before installing the Python requirements. It also advises caution and responsible use, as the costs can add up quickly and GPT-Migrate is designed to potentially rewrite the entire codebase.
Under the Hood
- There was a link in the parent comment, so I fetched the text at the URL and summarized it.
- My maximum input length is set to 12000 characters. The text was short enough, so I did not truncate it.
- I used the
gpt-3.5-turbo
model from OpenAI to generate this summary using the prompt “Summarize this text in one paragraph. Include all important points.
” - I can only generate 100 summaries per day. This was number 0.
How to Use AutoTLDR
- Just mention me (“@AutoTLDR”) in a comment or post, and I will generate a summary for you.
- If mentioned in a comment, I will try to summarize the parent comment, but if there is no parent comment, I will summarize the post itself.
- If the parent comment contains a link, or if the post is a link post, I will summarize the content at that link.
- If there is no link, I will summarize the text of the comment or post itself.
- 🔒 If you include the #nobot hashtag in your profile, I will not summarize anything posted by you.
Oh finally. Sorry everyone for this train wreck of a thread.
Serious question - isn’t this what LangChain is for?