Abstract
Self-hosted Language Models are going to power the next generation of applications in critical industries like financial services, healthcare, and defense. Self-hosting LLMs, as opposed to using API-based models, comes with its own host of challenges - as well as needing to solve business problems, engineers need to wrestle with the intricacies of model inference, deployment and infrastructure. In this talk we are going to discuss the best practices in model optimisation, serving and monitoring - with practical tips and real case-studies.
Speaker
Meryem Arik
Co-Founder and CEO @Doubleword (Previously TitanML), Recognized as a Technology Leader in Forbes 30 Under 30, Recovering Physicist
Meryem is the Co-founder and CEO of Doubleword (previously TitanML), a self-hosted AI inference platform empowering enterprise teams to deploy domain-specific or custom models in their private environment. An alumna of Oxford University, Meryem studied Theoretical Physics and Philosophy. She frequently speaks at leading conferences, including TEDx and QCon, sharing insights on inference technology and enterprise AI. Meryem has been recognized as a Forbes 30 Under 30 honoree for her contributions to the AI field.
Find Meryem Arik at:
Date
Tuesday Nov 19 / 01:35PM PST ( 50 minutes )
Location
Pacific DEKJ
