Software Engineering Meets Task Superposition In LLMs
Large Language Models (LLMs) can perform multiple tasks simultaneously during a single inference call, a capability called "task superposition", defying the assumption that LLMs learn one task at a time.
This is a Plain English Papers summary of a research paper called LLMs Achieve Parallel In-Context Learning Through Remarkable "Task Superposition" Capability. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview Large Language Models (LLMs) have shown impressive in-context learning (ICL) capabilities. This study explores a surprising phenomenon: LLMs can perform multiple, computationally distinct ICL tasks simultaneously during a single inference call, a capability called "task superposition." The researchers provide empirical evidence...