Context Size

Context size in large language models (LLMs) refers to the amount of input text a model can process simultaneously, impacting its ability to understand and generate coherent text. Current research focuses on improving LLMs' utilization of larger contexts, investigating how models balance contextual information with their internal knowledge, and developing techniques to mitigate issues like hallucinations and information leakage. This research is crucial for advancing LLMs' capabilities in various applications, including summarization, question answering, and code generation, by enabling more nuanced understanding of complex, lengthy inputs.