Georgian, Machine Learning Engineer
Kyryl has over 9 years of experience in the field of Machine Learning. For the bulk of this career, he has helped build machine learning startups, from inception to product. He has also developed expertise in choosing and implementing state-of-the-art deep learning architectures and large-scale solutions based on them.
How to train custom LLM with Dagster and Asset-Based Data Orchestration (UA)
More about presentation:
In this talk, we are going to explore how to train your own Large Language Model (LLM) on a single GPU with the help of LoRa. But apart from this, we are also going to approach this in a structured way: we'll start from a messy notebook, move to a better-supported script, and finally transition into a production-ready asset management orchestration with the help of Dagster!