Yes. For instance, a large context window allows you to have a chat for months where the model can remember and make use of everything you’ve ever talked about. That enables creating a much more effective “assistant” that can remember key details months later that may be valuable.

A second example is the analysis of long documents. Today, hacks like chunking and HyDE enable us to ask questions about a long document or a corpus of documents. But is far superior if the model can ingest the whole document and apply attention to everything, rather than just one chunk at a time. Chunking effectively means that the model is limited to drawing conclusions from one chunk at a time and cannot synthesize useful responses relating to the entire document.