Split the text into smaller pieces that can be read by a large language model, since those models have limits to how much they can read at once. The 300 pages of text will exceed OpenAI’s limits.

Another way to make a smaller language model perform as well as a large one is by scaling up. For example, the research team embedded the knowledge of the 1.3 billion parameter Phi-1.5 model into ...