Contextual foundations
The contextual foundations set the stage for our journey as we revisit the importance of context in the realm of large language models (LLMs). In this brief section, we’ll understand why maintaining a relevant and dynamic context is paramount for meaningful interactions, especially in applications where the content is ever-evolving. This foundational knowledge will provide the basis for the innovations we’ll explore in the subsequent sections.
The paradigm of dynamic context
In any conversation, the richness and relevance of a response often hinges on the context in which it’s given. As we’ve journeyed through this book, we’ve come to appreciate the vast knowledge repositories that LLMs such as GPT draw from. But what happens when we want our model to grasp the nuances of fresh data? This section introduces the concept of dynamic context—its significance, its challenges, and the potential it brings to modern chatbots...
