TERRABOT—A Multitasking AI

Kumari, Anmol; Gupta, Komal; Rawat, Deepika

doi:10.1007/978-981-33-4893-6_38

Cited by 1 publication

(1 citation statement)

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“…However, from a technological point of view, a chatbot only represents the natural evolution of a question answering system leveraging natural language processing (NLP). Formulating responses to questions in natural language is one of the most typical examples of NLP applied in various enterprises' end-user applications [2]. Chatbots, also commonly known as dialog agents, receive requests from users either through speech (spoken language) or direct text input and output either a textual or vocal response (through speech synthesis) [3].…”

Section: Introductionmentioning

confidence: 99%

Chatbot integrated with machine learning deployed in the cloud and performance evaluation

Reddy¹,

Devasena²,

Rahul³

et al. 2022

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Recently human-machine digital assistants gained popularity and commonly used in question-and-answer applications and similar consumer-supporting domains. A class of more sophisticated digital assistants employing longer dialogs follow the trend, and there are several commercial platforms supporting their prototyping such as Google DialogFlow, Manychat, Chatfuel, Amazon Lex, etc. This paper explores cloud deployment of chatbots systems and their performance assessment methodologies. The performance measures includes system response delays and natural language processing capabilities. A case study platform supporting so-called deep-logic chatbots with long cycling capabilities is implemented and used for the assessment. To enable human-like conversations with a chatbot, huge training data, complex natural language understanding models are required and need to be adjusted and trained continuously. We explore implementation formats supporting auto scaling, and uninterrupted availability. In particular, we employ an architecture consisting of separate dialog management, authentication, and Natural Language Understanding (NLU) services. Finally, we present a performance evaluation of such loosely coupled chatbot system.

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Section: Introductionmentioning

confidence: 99%