LLMs Are More Than Generative AI

🌈 Abstract

The article discusses the various use cases of large language models (LLMs) beyond just text generation, which is the most widely known application. It covers the following key uses of LLMs:

🙋 Q&A

[01] Creation / Generation

1. What are the key points about the use of LLMs for content generation?

• LLMs are used for generating various types of content, including text, images, videos, and code.
• The same fundamental algorithmic approaches are utilized for generators of all types, as they all need to understand and decompose the input prompt to guide the generation process.
• While generation of new content is the most widely known use of LLMs, it is not the only thing they can do.

[02] Summarization

1. How can LLMs be used for summarization?

• LLMs can be used to summarize information provided to them, such as a list of research papers.
• This can help users get a baseline understanding of the key themes and common/differing points across the papers, making it easier to focus their reading.
• Summarization is considered a lower-risk use of LLMs compared to generation, as the LLM is limited to summarizing the provided content rather than generating new content.

[03] Translation

1. What are the key points about using LLMs for translation?

• LLMs can be used to translate old code from uncommon languages into modern coding languages, providing a draft that can then be edited by a programmer.
• LLMs can also be used for human language translation, enabling instant translation between any two languages, which can help preserve uncommon languages.

[04] Interpretation / Extraction

1. How can LLMs be used for interpretation and extraction?

• LLMs can interpret a statement or question and then use that interpretation to trigger additional actions, such as generating a database query or performing sentiment analysis.
• LLMs can extract key facts and parameters from natural language requests, which can then be used to more effectively route customer service inquiries or generate appropriate responses.

[05] Wrap-Up

1. What is the key message of the article?

• The article aims to reinforce that LLMs can do much more than just text generation, and that their other use cases, such as summarization, translation, and interpretation/extraction, can also be powerful and beneficial.
• The author encourages readers to explore how these other LLM use cases might be applicable to their own needs and organizations.