Apache Cassandra Lunch: LLM Fine Tuning with QLoRA - Training

Join us for another enriching session in our Cassandra Lunch series, where we delve deeper into the world of Large Language Model (LLM) fine-tuning, building on the insights and discussions from our previous gathering. This session, the second in our series presented on QLoRA, is designed to unravel the complexities and nuances of fine-tuning methodologies with a special focus on the innovative QLoRA approach.

In this expert-led discussion with Anant Senior Developer and HacDC President Obioma Anomnachi, we will dissect the distinctions between QLoRA and traditional LoRA, as well as full fine-tuning procedures, shedding light on the unique advantages and considerations of each method. Our exploration will not stop at theoretical knowledge; we'll dive into the practical aspects of the fine-tuning process, examining the structural blueprint of the training phase in detail.

Prepare to engage with the intricacies of training arguments and learn how they can be strategically manipulated to tailor the fine-tuning process to meet specific objectives and enhance model performance. Whether you're aiming to deepen your existing expertise or eager to acquire cutting-edge knowledge in LLM fine-tuning, this session promises a wealth of information and insightful discussions.

This Cassandra Lunch is more than just a presentation; it's an opportunity to connect with fellow enthusiasts and professionals, share knowledge, and explore the forefront of LLM fine-tuning. Don't miss this chance to enhance your understanding and expertise in this pivotal area of generative AI engineering.