_{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.}  

Join Rob Mulla, 4x Kaggle Grandmaster and Sr. Principal Data Scientist, H2O.ai on December 12, 12pm EST/9am PST for an exciting session designed specifically for data scientists like you, who are looking to enhance their language models (LLMs) performance in classification and regression tracks.  

Our interactive session will include plenty of opportunities for Q&A and discussion and you’ll learn more about:

• state of the art approaches for LLM fine-tuning
• applying LLM fine-tuning to classification and regression tasks
• tuning parameters and loss functions
• fine-tuning LLMs with LLM Studio

Don’t miss out on this opportunity to apply LLMs to classification and regression tasks to unlock the full potential of your language models.