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Generative AI with LLMs: LangChain: A Framework for Building Applications with LLMs

Learn what LangChain is and how it can help you create advanced use cases around LLMs by chaining together different components and integrating with other tools.

Question

What is the main purpose of the LangChain framework?

A. To connect with external APIs and datasets and offload computational tasks.
B. To provide prompt templates, agents, and memory components for working with LLMs.
C. To evaluate the LLM’s completions and provide fast prototyping and deployment capabilities.
D. To chain together different components and create advanced use cases around LLMs, such as chatbots, Generative Question-Answering (GQA), and summarization.

Answer

D. To chain together different components and create advanced use cases around LLMs, such as chatbots, Generative Question-Answering (GQA), and summarization.

Explanation

The correct answer is D. To chain together different components and create advanced use cases around LLMs, such as chatbots, Generative Question-Answering (GQA), and summarization. LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). It provides a standard interface for chains, which are sequences of components that can be combined to perform complex tasks involving LLMs. Components include LLM wrappers, prompt templates, indexes, agents, and memories. LangChain also offers a lot of integrations with other tools, such as databases, APIs, and web services, to enable LLMs to access and manipulate external sources of knowledge and computation. LangChain can be used to build a wide range of LLM-powered applications, such as document analysis and summarization, chatbots, code analysis, data augmentation, text classification, machine translation, and more.

Generative AI Exam Question and Answer

The latest Generative AI with LLMs actual real practice exam question and answer (Q&A) dumps are available free, helpful to pass the Generative AI with LLMs certificate exam and earn Generative AI with LLMs certification.

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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