What are the advancement in chatbot technology?
Since technology evolves rapidly, there may have been further developments in the field. Here are some key advancements that were prominent at that time:
Transformer based models : Transformer architecture, popularized by models like BERT and GPT-3, revolutionized chatbots. These models improved natural language understanding and generation capabilities, enabling more context-aware and coherent conversations.
Multimodal Chatbots : Chatbots that can process and generate both text and images or videos gained traction. This enabled richer interactions and support for visual content.
Voice-Enabled Chatbots : Voice-activated chatbots, integrated with platforms like Amazon Alexa and Google Assistant, allowed users to engage in voice-based conversations for various tasks, such as information retrieval and automation.
AI Chatbot Marketplaces : Companies began offering AI chatbot marketplaces where developers could access pre-built chatbot templates and deploy them with customization. This accelerated chatbot development.
Hybrid Models : Chatbots that combined rule-based systems with machine learning and AI models became more common. These hybrid models provided flexibility and accuracy.
Conversational AI Platforms : Specialized conversational AI platforms like Rasa and Dialogflow allowed developers to create chatbots with advanced dialog management, intent recognition, and context handling.
Low-Code/No-Code Chatbot Builders : User-friendly, low-code, or no-code chatbot development platforms like Botbuz Chatbots have emerged, enabling individuals with minimal coding experience to build and deploy chatbots.