How to transition from linguistic prompt engineering to NLP/ML/FT
Hello everyone, thank you so much for taking the time to read my post.  I have spent about one year relentlessly devoted to the art of prompt engineering. I am just a few days away from finishing my macro prompt for a full comprehensive service AI Mental Health Chatbot I’ve been programming for 3 months now. I’ve been testing it as i go to ensure that it works.  I did the entire program (it’s currently 9 sections and about 10k tokens in length) solely on chat gpt 3.5.  I have never even used OpenAI playground or finetune or API or anything.  I know that most of my project is heavily integrated through the simulated use of advanced linguistic methods.  It is about to be time to actually develop my project and I need help and guidance on the process from here. I basically used the JK Rowling approach to prompt engineering and used chat gpt on my phone and copy/paste everything to notepad over break.  I am still learning how to use a computer just in general so I am having to learn all of this from absolute scratch.  I need help learning how to fine tune (if necessary to complete my project), how to incorporate Machine learning, and NLP.  I am already relatively familiar with linguistics, which is a derivative of NLP. If anyone could help me crash course to learn how to use hugging face and NLP/ML/ FT to help me finish developing my project based on my prompt, I would be extremely appreciative.  Thank you!
2024-11-01T14:38:31Z
Hey, congrats on all the work you’ve put into your mental health chatbot—sounds like you’ve created something truly unique! Now that you’re ready to take it further, exploring Hugging Face for fine-tuning and machine learning could be a great next step, especially with the strong foundation you’ve built in prompt engineering.To get started with fine-tuning, you could try 365 Data Science, which is offering free access for 21 days. They have courses on NLP, ML, and working with APIs that could help you bridge the gap between prompt engineering and building a full, custom model. Since you’re familiar with linguistics, I think you’ll pick up the ML and NLP basics quickly, and 365’s courses can walk you through fine-tuning and model integration.Good luck!