Overview Of Hybrid Artificial Intelligence Training Ppt

Slide 1

This slide introduces the concept of Hybrid Artificial Intelligence. Hybrid AI is a breakthrough that blends non-symbolic AI, such as machine learning and deep learning systems, with symbolic AI or human intelligence embedded in machines

Slide 2 

This slide describes the two areas of Artificial Intelligence that are, Symbolic AI and Non-Symbolic AI. These two areas are the main pillars of Hybrid Artificial Intelligence.

Instructor’s Notes: 

• Symbolic AI: Symbolic AI attempts to connect facts and occurrences using logic rules and make this information machine-readable and retrievable through semantic enrichment
• Non-Symbolic AI: This category comprises models in Machine Learning, Deep Learning, and neural networks, where a large amount of training data is used to get statistical inferences and judgments. This is also true when we submit a text to the Natural Language Understanding (NLU) component, which understands it and returns the correct response

Slide 3

This slide lists the advantages and disadvantages of using hybrid AI models. The pros include a strong and robust model, and the flexibility it offers. The cons include complexity to understand, hard to implement, and its training intensive nature.