Hi Robert,
>Does anybody know how to "train" ChatGPT?
was asking this myself, so I asked ChatGpt
:
"How can i teach you a new programming lanugage?"
Answer:
"As an AI language model, I can learn new programming languages, but I require access to high-quality training data and extensive computing resources to do so effectively.
If you have specific resources or materials you would like me to use for learning a new programming language, you can provide them to me, and I can use them to improve my understanding of the language. Additionally, you can provide feedback and corrections as I generate code or answer programming-related questions in the new language.
Keep in mind that my training and capabilities are limited by my current architecture, so I may not be able to learn or perform certain tasks in a new language that is not supported by my architecture."
Looks like a valid answer, but not very helpful though, so let's asks more precisely:
"Which steps do I need to do in order to teach you a programming language?"
Answer:
"To teach me a new programming language, here are some steps you can take:
Gather high-quality training data: The first step in training an AI model like me is to gather high-quality training data. This could include code snippets, code samples, documentation, tutorials, and other resources in the new programming language.
Organize the data: Once you have collected the data, you will need to organize it into a format that can be used to train an AI model. This may involve cleaning and pre-processing the data to remove noise, standardize the format, and prepare it for ingestion into the training pipeline.
Train a model: Once you have prepared the data, you can use it to train a new model or fine-tune an existing one to learn the new programming language.
Evaluate the model: After training, you will need to evaluate the performance of the model to ensure it is accurate and effective at generating code in the new programming language.
Fine-tune the model: Based on the results of the evaluation, you may need to fine-tune the model to improve its performance or to address any issues that arise during testing.
Test the model: Once you have fine-tuned the model, you can test it in a variety of scenarios to ensure it is accurate and effective at generating code in the new programming language.
Provide feedback: As the model generates code or answers programming-related questions in the new programming language, you can provide feedback and corrections to help improve its accuracy and effectiveness.
Please note that this is a high-level overview of the process, and the actual steps involved may vary depending on the specific programming language and training data you are working with."
This looks way more interesting. There are some guides available how to train a model, but I wonder if it is worth the work. Anyway, if you ask for translation :
"Can you translate this c# code to x#:
var request = new RestRequest(Method.POST);
request.Headers.Add("Content-Type", "application/json");"
It already gives you quite good results:
"LOCAL request := RestRequest{Method:=Method.POST}
request.Headers:Add("Content-Type", "application/json")"
Look good but there's a little glitch, the '.' before Headers should be ':'. Let's tell this to ChatGpt and regenerate:
"If request is an object instance and Headers is an instance property it should read request:Headers. Please regenerate"
Answer:
"You're correct, thank you for catching that mistake. Here's the corrected X# code:
LOCAL request := RestRequest{Method:=Method.POST}
request:Headers:Add("Content-Type", "application/json")
In X#, the : syntax is used to access instance members, including properties and methods. In this case, Headers is an instance property of the RestRequest object, so it should be accessed using the : syntax."
Impressive, so it already has a certain understanding of what X# is and looks like
Regards
Meinhard