I find myself in search of a suitable model for addressing frequently asked questions in a generative manner. In order to make an informed choice, I am reaching out for recommendations on the appropriate model types to consider for this purpose.
To provide a bit more context, I am particularly interested in models that can effectively respond to questions with detailed, coherent, and contextually relevant answers. (I have a json file similar to QA dataset consists of the questions and corresponding answers). These questions may pertain to a broad range of topics, and I want a chatbot that can adapt to various domains seamlessly.
While I am aware that Hugging Face offers a plethora of pre-trained models, each designed with its unique strengths and capabilities, I would greatly appreciate insights from the community to help narrow down my options. Any advice on specific models, fine-tuning strategies, or relevant resources would be highly valued.
To summarize, my primary requirements are:
- Generative question-answering capability.
- Adaptability across diverse domains.
- Detailed, coherent, and contextually relevant responses.
Please feel free to share your experiences and expertise in this domain, and thank you in advance for your valuable input. Your recommendations will play a pivotal role in my decision-making process as I strive to select the most suitable chatbot model for my project.