Creating a medical Q&A Telegram bot using a large dataset

Hey everyone! I’m working on a cool project and need some advice. I’ve got this huge collection of medical school questions - like 56,000 of them! What I want to do is make a Telegram bot that can answer questions from med students, but only using this specific database.

I’ve seen how ChatGPT and other AI chatbots work, and I’m wondering if I can do something similar, but more focused. Is it possible to create a bot that can understand and respond to medical questions using just my dataset?

Has anyone tried something like this before? What kind of challenges should I expect? Any tips on where to start or what tools to use would be super helpful. Thanks in advance!

Creating a specialized medical Q&A bot is certainly feasible, but it comes with challenges. First, you’ll need to preprocess your dataset to ensure consistency and relevance. Then, consider using a retrieval-based approach rather than generating responses from scratch. This involves indexing your questions and answers, then using semantic search to find the most relevant responses. Libraries like Elasticsearch or Faiss could be useful here. For natural language understanding, you might leverage pre-trained models like BERT or RoBERTa, fine-tuning them on your medical corpus. Remember to implement safeguards to prevent the bot from providing potentially harmful medical advice. Also, consider ethical implications and data privacy concerns when dealing with medical information.

hey there! sounds like an awesome project. i’ve dabbled in something similar before. you might wanna look into fine-tuning a language model on ur dataset. it’s not super easy, but totally doable. start with huggingface transformers maybe? good luck with it!