Chatbots for Beginners: A Complete Guide to Build Chatbots - Fundamentals of Chatbots for Deep Learning: Conventional Ve

The video tutorial compares conventional and AI-driven chat bots. Conventional chat bots rely on manually created keywords and rules, making them difficult to train and scale. In contrast, AI-driven chat bots use deep learning, allowing them to learn from interactions, handle spelling errors, and scale easily. The tutorial highlights the differences and advantages of AI-driven chat bots over conventional ones.

What is a key characteristic of conventional chat bots?

• They are driven by deep learning.

• They rely on manually created keywords.

• They automatically update their rules.

• They are easy to scale.

Why are conventional chat bots difficult to train?

• They have a high level of automation.

• They are based on Wikipedia data.

• They rely on manually drafted rules.

• They use AI to learn from interactions.

What is a major challenge in scaling conventional chat bots?

• They are not based on AI.

• They require minimal maintenance.

• They learn from real interactions.

• They can handle a wide range of questions.

How do AI-driven chat bots improve over time?

• By manual updates from developers.

• By using a fixed set of keywords.

• Through real customer interactions.

• By relying on static rules.

What makes AI-driven chat bots easier to scale?

• They learn and adapt automatically.

• They require frequent manual updates.

• They are based on keyword-driven rules.

• They have a limited audience reach.

What is a benefit of deep learning-based chat bots?

• They are difficult to train.

• They require high maintenance.

• They are limited to specific fields.

• They can understand a variety of questions.

What sets AI-driven chat bots apart from conventional ones?

• They have a fixed set of responses.

• They learn from interactions and improve.

• They are difficult to scale.

• They rely on manual keyword input.