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Discover the Future of Chatbots
On the bottom right, test the rule-based chatbot (our competitor), and on the bottom left, experience the intelligence of HiperAI’s AI-powered chatbot.
Try them both and see the evolution in action!
Top Sellers
@angelo pantazis
647 ETH
@kiara styles
1221 ETH
@rupert granger
765 ETH
@kiara styles
1221 ETH
@rupert granger
765 ETH
@kiara styles
1221 ETH
@angelo pantazis
647 ETH
@kiara styles
1221 ETH
@rupert granger
765 ETH
Popular Collections
WALK IN NATURE
@johan doe
LIFE IN PIECES
@angelo pantazis
HAND IN HAND
@rose wilde
EYE IN SKY
@rose wilde
EYE IN SKY
@rose wilde
HAND IN HAND
@rose wilde
LIFE IN PIECES
@angelo pantazis
WALK IN NATURE
@johan doe
AI vs Rules Based Chatbots
Comparative
Conventional Chatbot vs Chatbot based on neural networks
Characteristic
Neural Network Chatbot (HiperAI)
Rule-Based Chatbot
Response Mechanism
Dynamic responses based on understanding of context and natural language.
Predefined responses based on specific rules or keywords.
Understanding Capabilities
Advanced: comprehends variations, ambiguity, and colloquial language.
Limited: only understands inputs that match predefined rules.
Adaptability
Learns from interactions and improves responses over time.
Does not adapt or learn from interactions; requires manual updates.
User Experience
Human-like, fluid, and natural conversations, adjusting to context.
Rigid and predictable interactions based on fixed flows.
Maintenance
Low: improves automatically with more interactions and data.
High: frequent updates needed to accommodate new rules or keywords.
Use Case Suitability
Best for complex queries and advanced customer service interactions.
