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Optimizing Large Language Model (LLM) Inference for Arm CPUsDibakar Gope 03/27/2024 2024 ArmLLMs on Arm CPUs LLMs have transformed the way we think about language understanding and generation Facilitating

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What are large language models?

Large language models are artificial intelligence models that are trained on vast amounts of text data to understand and generate human-like text. They can perform various natural language processing tasks such as translation, summarization, and conversation.

Who is required to file large language models?

Typically, organizations or researchers that develop or deploy large language models for commercial purposes or significant applications are required to file reports or disclosures about their usage.

How to fill out large language models?

Filling out large language models typically involves documenting the model architecture, training data, intended use cases, and any compliance measures taken. Specific requirements may vary depending on the governing authority or organization.

What is the purpose of large language models?

The purpose of large language models is to enhance machine understanding of human language, automate processes, improve communication between humans and machines, and enable advanced applications such as chatbots and content generation.

What information must be reported on large language models?

Information that must be reported typically includes model specifications, performance metrics, ethical considerations, data sources used for training, and any measures for fairness and bias mitigation.