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Enhancing Conversational Dialogs with Rulai: Advanced Solutions and Support

Key Features of Rulai

Rulai's support for highly complex conversational dialogs offers a range of key features, including natural language understanding, context awareness, common conversational intents’ detection, multi-intents understanding, and more. Additionally, it provides support for synonyms and misspellings’ understanding, change of mind’s detection, and zero-shot or few-shot learning for NLU with little to no training data. Users can benefit from custom deep learning NLU models, question answering from databases, unstructured and semi-structured documents, and ingestion of external knowledge bases for NLU enhancement.

Dialog Manager Functionality

The dialog manager within Rulai's solution allows for multi-task and context-switching management, multi-intents and exceptions handling, answer extraction from articles or knowledge bases, clarifying questioning, and the collection of customer relevant information. It also enables bots orchestration, federation of knowledge sources, seamless escalation to live agents, and process orchestration for human-assisted and non-assisted reactive/proactive processes. Furthermore, it suggests responses to live agents, enhancing overall user experience.

Advanced NLP Features in Rulai

Rulai offers advanced NLP features such as recommendation with AI-assisted design, support for complex multi-round queries in natural language for knowledge bases or data sources, configuration of suggestion modes, co-reference resolution, sentiment detection and analysis, and multi-language understanding. The drag & drop VA design console allows business users to create customer Virtual Agents in a user-friendly manner without the need for coding, streamlining the process of automating responses and interactions while maintaining a high level of customization.

Level Characteristics and Examples with Rulai

Rulai categorizes conversational dialog levels, from single round Q&A to flexible non-linear conversations. Level-3 Virtual Agents by Rulai are capable of tracking conversations, maintaining context for intelligent chatbots, and making informed decisions on the next action to take. With support for non-linear conversations, Rulai enables chatbots to handle diverse user queries effectively, allowing for seamless interaction even when users deviate from the main conversation thread. This adaptability enhances user engagement and overall chatbot performance.

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Unlocking the Power of Conversational AI with Rulai

Expert’s Guide to Conversational AI

The expert's guide by Rulai details five levels of automation to objectively classify virtual assistants based on their ability and intelligence. It focuses on the underlying technology rather than the product itself, providing a benchmark for virtual assistant performance.

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