With the increasing popularity of LLMs, there is a growing interest in using these models for a wide range of applications, including natural language processing, text classification, and predictive modeling. However, training LLMs for these tasks can be challenging, especially for those who are new to the field.
Watch the webinar replay to learn about:
- State of the art approaches for LLM fine-tuning
- Apply LLM fine-tuning to classification and regression tasks
- Tuning parameters and loss functions
- Fine-tuning your LLM with LLM Studio
