Small but Mighty: Create language models small enough to run on your phone
Details
Join Machine Learning Engineer Daniel Bourke as he presents how small language models (SLMs, models small enough to run on your phone) can be customised, used and run at scale.
In the talk, Daniel will showcase several use cases of smaller-sized models and how they can be customised for specific tasks, providing benefits such as data privacy, latency reductions and significant cost savings over larger cloud-hosted models. Daniel will also give a hands-on demonstration of model fine-tuning during the session.
After the talk, attendees will understand the pros and cons of small language models and be equipped to identify opportunities in their own business where SLMs could help.
About Daniel
Daniel Bourke is a Machine Learning Engineer and Educator. He is the co-founder of Nutrify, a food education app as well as the lead ML instructor at Zero to Mastery. His Introduction to PyTorch tutorial video is one of the most popular ML training videos on Youtube, where he regularly posts ML/AI videos for his 243k subscribers. He specialises in custom and on-device models.