Dear Uygar Kurt. Thank you for your videos! They are very nice. I am from Baku, Azerbaijan, Selamlar! I have a problem, maybe you know a solution. I need to create a chatbot for educational purposes, with memory, for just 10 questions to the chatbot. I have a data generated, which are dialogues, but not just one question and one answer, it is a dialogue. How can I use it for fine tuning? Can you give a guidelines. Also, I have a set of rules for the system, like prices of the products, and model also should output final cost using multiplication.
@@AIEasySolutions Thank you! I can think of several approaches. You can split the dialogue and feed gradually. Or you can just feed it at once too. Model should learn. For rules maybe langchain has something.
Thank you for your reply, really appreciate! Do you think feeding gradually is a good choice? Since it is a dialogue and at the end it should summarize what has been said. Anyway, thank you very much!
@@AIEasySolutions Yes, while feeding gradually you can give the dialogue history as an input as well. Or if you want to use less memory you can give a summarization of it. With this I expect it to learn. Also huggingface does this very well at the try model sections next to the model. I haven't checked the way they used but you can check that out also.
Thank you so much, a video that difficult to find on the internet again
Thank you!
Thanks a lot man! This helps a lot
Thank you!
Dear Uygar Kurt. Thank you for your videos! They are very nice. I am from Baku, Azerbaijan, Selamlar! I have a problem, maybe you know a solution. I need to create a chatbot for educational purposes, with memory, for just 10 questions to the chatbot. I have a data generated, which are dialogues, but not just one question and one answer, it is a dialogue. How can I use it for fine tuning? Can you give a guidelines. Also, I have a set of rules for the system, like prices of the products, and model also should output final cost using multiplication.
@@AIEasySolutions Thank you! I can think of several approaches. You can split the dialogue and feed gradually. Or you can just feed it at once too. Model should learn. For rules maybe langchain has something.
Thank you for your reply, really appreciate! Do you think feeding gradually is a good choice? Since it is a dialogue and at the end it should summarize what has been said. Anyway, thank you very much!
@@AIEasySolutions Yes, while feeding gradually you can give the dialogue history as an input as well. Or if you want to use less memory you can give a summarization of it. With this I expect it to learn. Also huggingface does this very well at the try model sections next to the model. I haven't checked the way they used but you can check that out also.
@@uygarkurtai Thank you, Dear Uygar! I will share my solution if I can work it out.