What are the advancement in chatbot technology?

Answer 1

Since technology evolves rapidly, there may have been further developments in the field. Here are some key advancements that were prominent at that time:

1. 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.

2. 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.

3. 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.

4. 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.

5. Hybrid Models : Chatbots that combined rule-based systems with machine learning and AI models became more common. These hybrid models provided flexibility and accuracy.

6. 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.

7. 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.