Definition of"LLM app" in English

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LLM app

/ˌɛl ɛl ˈɛm æp/
Noun

Definitions

1

Noun

An application or software program that is built upon, powered by, or heavily integrates a Large Language Model (LLM) to perform specific tasks or provide services. These applications leverage the LLM's capabilities, such as natural language understanding, generation, summarization, translation, code generation, or reasoning, to interact with users or process data.
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Examples

  • "The startup developed an innovative LLM app for content creation that generates marketing copy from a few keywords."

    The startup developed an innovative LLM app for content creation that generates marketing copy from a few keywords.

  • "Building a secure and scalable LLM app requires careful consideration of data privacy and model deployment strategies."

    Building a secure and scalable LLM app requires careful consideration of data privacy and model deployment strategies.

Synonyms

Etymology

'LLM' is an acronym for 'Large Language Model,' referring to a type of artificial intelligence model trained on vast amounts of text data. 'App' is a common abbreviation for 'application,' a software program designed to perform a specific function directly for the user or for another application. The combined term emerged with the increasing accessibility and application of large language models in various software solutions.

Cultural Notes

The term 'LLM app' has rapidly gained prominence within the technology and artificial intelligence communities following the mainstream adoption of powerful large language models like GPT-3, GPT-4, and others. It signifies a new paradigm of software development where traditional programming logic is augmented or replaced by the generative and reasoning capabilities of AI models. These applications are transforming various industries, from customer service (chatbots) to content creation, data analysis, and educational tools, making the term central to discussions about the future of AI and software.

Frequency:Common

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