Embeddings

While LLMs, such as the popular GPT family models, are incredibly advanced, they do have their limitations. Primarily, they rely on a static set of knowledge learned during their training phase, which means they might lack specific knowledge on certain topics. One of the key concepts in working with textual data is embeddings. These are representations of text in a dense vector space, where similar items are mapped to nearby points....