Q&A learning

Q&A learning involves an AI system that learns by answering questions and receiving feedback on its responses. It uses a structured approach where the AI predicts an answer, then compares it to the correct answer to improve future responses. This process helps the AI understand which answers are accurate and how to generate better ones over time. Essentially, Q&A learning trains the model through interactive questioning, allowing it to refine its knowledge and reasoning skills, making it more effective at providing correct and relevant answers in various contexts.