The adoption of large language models (LLMs) is on the rise. Previously, many
natural language processing (NLP) use cases required deploying several different
models. With LLMs, one general-purpose model can support a wide variety of NLP
use cases, greatly simplifying the integration of language-based machine
learning capabilities, such as text
