LLMs As Markov Chains: Exploring In-Context Learning
LLMs can be viewed as Markov chains, predicting next word based only on current state, without considering full history. In-context learning (ICL) allows LLMs to adapt predictions based on provided context.
This is a Plain English Papers summary of a research paper called LLMs as Markov Chains: Exploring In-Context Learning for Text Generation. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview Large language models (LLMs) are powerful AI systems that can generate human-like text. This paper explores how LLMs can be understood as Markov chains, a type of statistical model. The paper also discusses in-context learning (ICL), a technique used by LLMs to generate text. Plain English Explanation Markov Chains and Large Langu...