September 2025
Intermediate to advanced
528 pages
13h 26m
English
Content preview from Textual Intelligence
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12LangChain: Simplifying Development with Language Models
Sangeetha Annam1*, Merry Saxena1, Ujjwal Kaushik2 and Shikha Mittal1
1Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
2Chitkara College of Pharmacy, Chitkara University, Punjab, India
Abstract
The method of determining the language connected to a certain set of spoken questions is known as spoken language identification. Large language models are becoming more and more popular because of their strong processing capacities for programming languages. These types of models can answer free-content questions without specialized training in the activity, which has raised both enthusiasm and concerns regarding their potential application in numerous fields. Empirical research has demonstrated that the language modeling method for retrieval performs well. Many research works have been carried out to address individual applications such as spoken language translation, spoken document retrieval, multi-lingual recognition of speech and conversational systems, intelligence, and safety, where language identity determination of messages recorded and archival documents is necessary for information extraction. An extensive introduction to language chain modeling is given at the beginning of this chapter. Subsequently, the study provides a comprehensive literature review of the selected publications to emphasize the most recent research subjects enabled by language chain applications. ...
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