von Gian Kaur Vor 1 Jahr
60
Mehr dazu
The Student Guide Application is designed to support students with language learning and tutoring. It incorporates cognitive computing elements, including chatbots powered by Natural Language Processing (NLP) technology, Q/A models, and APIs.
In this application, chatbots act as the user interface. They receive user queries and relay them to the Q/A model, specifically GPT-3. When a user submits a question or query to the chatbot, the chatbot channels it to the Q/A model for processing. To facilitate this communication between the Q/A model and chatbots, an API serves as the intermediary, using API requests to transmit questions and retrieve answers seamlessly.
Azure API management for API integration
Azure Machine Learning for Q/A model deployment
Azure bot services for chatbots
API will serve as communication channel between Q/A model and ChatBot
Chatbots use NLP to generate natural language responses to student's queries. This includes selecting appropriate words, phrases, and grammar rules to create human-like replies
NLP will enable the system to parse student queries and extract meaning from them.
GPT-3 will be used as a Q/A model which will serve as chatBot's backend which will be responsible for answering questions posed by students
The battery prediction of mobile device application will use the reasoning and decision-making quality provided by cognitive computing. This application will intelligently suggest when to charge the device based on usage patterns and battery life predictions.
This application will continuously learn from user interactions and feedback to improve its predictions and recommendations over time. This adaptive learning is a fundamental aspect of cognitive computing.
Context-awareness is another cognitive computing aspect used in this application. This application considers the usage pattern of the mobile device and suggests power-saving settings when the battery is low.
Scikit-learn
Scikit-learn is a popular machine learning library in python to build code for regression models