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Generative AI with LLMs: How to Use LLMs to Invoke Actions from Text: A Case Study of Converting Code Comments to Executable Code

Learn how Large Language Models (LLMs) can be used to invoke actions from text, such as converting code comments to executable code, by leveraging their natural language understanding and generation capabilities.


Large Language Models (LLMs) are capable of performing multiple tasks supporting a variety of use cases. Which of the following tasks supports the use case of converting code comments into executable code?

A. Invoke actions from text
B. Information Retrieval
C. Translation
D. Text summarization


A. Invoke actions from text


The correct answer is A. Invoke actions from text. This task involves using natural language to trigger commands or actions in a system, such as executing code, opening applications, or controlling devices. For example, an LLM can be trained to convert code comments into executable code by learning the mapping between natural language and code syntax. This can support the use case of generating code from specifications, documentation, or pseudocode.

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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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