This guide will walk you through the process of training a chatbot using advanced settings, including content input, URL referencing, and file upload methods. These advanced techniques can help create a more sophisticated and context-aware chatbot, leading to a better user experience.

Once your chat bot is created, you can access Advanced Settings tab where you can set training for your chatbot:

1. Content-based Training

Content-based training involves using text data to train your chatbot, which can be sourced from various platforms like websites, documents, or conversation logs.

Steps:

1. Collect relevant text data that you want your chatbot to learn from. This can include FAQs, knowledge base articles, or conversation logs.
2. Clean and preprocess the data by removing irrelevant information, fixing grammar or spelling errors, and converting it into a structured format.
3. Use a machine learning model or an NLP framework to train your chatbot using the preprocessed data.
4. Test your chatbot's performance and fine-tune the model to improve accuracy and context-awareness.

2. URL-based Training

URL-based training involves using web pages or external resources to train your chatbot. This method allows your chatbot to access and learn from a wide variety of online sources.

Steps:

1. Identify relevant web pages or online resources that contain information related to your chatbot's domain.
2. Use a web scraping tool or library to extract the text content from these web pages.
3. Clean and preprocess the extracted data, as described in the Content-based Training section.
4. Train your chatbot using the preprocessed data.
5. Test and fine-tune the model for improved performance.