Large language models (LLMs) are shaking up the field with their incredible abilities to generate text, analyse sentiment, translate languages, and much more.
In order to train an LLMs to become an expert in a particular domain, context management or fine-tuning is usually required and brings with it a unique set of challenges:
Selecting an appropriate foundational model, employing LLMs for task-specific applications, evaluating their performance, and eventually deploying and monitoring the models in real-world scenarios.