There are numerous AI frameworks available, such as TensorFlow, PyTorch, and Keras. I'm a bit overwhelmed with the options and would love to hear from experienced developers about the pros and cons of these frameworks. Which one do you recommend for a project focusing on computer vision and why? How steep is the learning curve, and what resources did you find most helpful?
Quality Training Data: Use diverse and well-annotated datasets. Advanced Models: Implement and fine-tune models like BERT or GPT-4. Context Handling: Ensure the chatbot maintains context over conversations and recognizes entities accurately. Continuous Learning: Incorporate user feedback and regularly update the model. Error Analysis: Regularly analyze and address errors to refine the chatbot's understanding. These steps will help improve the chatbot's accuracy and user interaction quality.