Large Language Models

• URL: http://arxiv.org/abs/2307.05782v2
• Date: Fri, 6 Oct 2023 12:13:46 GMT
• Title: Large Language Models
• Authors: Michael R. Douglas
• Abstract summary: In these lectures, written for readers with a background in mathematics or physics, we give a brief history and survey of the state of the art. We then explore some current ideas on how LLMs work and how models trained to predict the next word in a text are able to perform other tasks displaying intelligence.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Artificial intelligence is making spectacular progress, and one of the best examples is the development of large language models (LLMs) such as OpenAI's GPT series. In these lectures, written for readers with a background in mathematics or physics, we give a brief history and survey of the state of the art, and describe the underlying transformer architecture in detail. We then explore some current ideas on how LLMs work and how models trained to predict the next word in a text are able to perform other tasks displaying intelligence.

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