While most companies have large amounts of data, they are often unprepared for LLM fine-tuning. During fine-tuning, LLMs learn to mimic the style and content of the data used, and it is therefore important that this data represents the intended model behavior exactly.
During this webinar, we will explore how you can leverage SuperAnnotate with Databricks to refine your data, fine-tune large language models, and thoroughly evaluate the results to make well-informed deployment decisions.
