Artificial Intelligence (AI) Chatbot

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Artificial Intelligence (AI) chatbots are chatbots that understand and answer more complex queries. The AI-powered chatbot uses Natural Language Processing to break down the user sentence into Intent and Entities. Intents and Entities information along with context is used to generate the response in the AI-powered chatbot.

AI Chatbot Examples
Replika
Tay
Examples of AI chatbots
Virtual Agent
A virtual agent is a computer-generated virtual character that serves customers. It uses automated programs to answer customers. It can fetch real-time information for the internet to answer queries.

Virtual Agent Examples
Alexa by Amazon
Siri by Apple
Google Assistant
Alexa, Siri, and Google Assistants – some of the prominent advertising data virtual agents
Conversational AI
Conversational AI refers to the set of technologies with which users can interact. They use large volumes of data, machine learning, and natural language processing to help imitate human interactions, recognizing speech and text inputs and translating their meanings across various languages.

Conversational AI Examples
Voice Assistants
Chatbots
Conversational AI is used in contact centers to optimize response time and reduce costs.
Training Data
Training data refers to the dataset used to train a machine learning model. It consists of input-output pairs or examples that are fed into the model during the training process, allowing it to learn patterns and relationships between the input message and the corresponding outputs.

The data could take various forms, such as text (e.g., PDFs, .txt, or doc files), numeric data (e.g., Excel sheets, CSV files, databases), or images (e.g., JPEG, PNG). Additionally, it could include audio files (e.g., WAV, MP3) for tasks like speech recognition, video files (e.g., MP4, AVI) for video analysis, sensor data (e.g., temperature readings, accelerometer data) for IoT applications, or even structured data from sources like JSON or XML files.