Deploying LLMs

Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, ...  Show more

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social ch ...  Show more

In this episode, I'm joined by Florin Rotar, the Chief Technology Officer at Avanade, and Chris Lloyd-Jones, the Head of Open Technologies at Avanade. We'll be talking about how AI is evolving from being a tool to being a partner as well as the announcements we heard at Micros ...

Join Allen Firstenberg and guest host Noble Ackerson, at the Voice and AI 2023 conference. They discuss the growth of AI and how LLM (large language models) are affecting the tech world and delve deep into topics like LangChain, generative AI, and how to optimize AI operations ...

This week on the Official AWS Podcast, dive into the rapidly evolving world of Large Language Model Operations (LLMOps)! Join the experts as our host Shruti interviews Piyush Kadam, Sr. Product Manager, and Lauren Mullennex, Sr. Solutions Architect at AWS to explore how Amazon Sa ...  Show more

Rajeev Hans and Naresh Ram discuss the opportunities found at intersection of digital transformation and AI in manufacturing. Rajeev is CTO at AAXIS, a company at the forefront of helping manufacturers accelerate digital transformation. Naresh is Chief AI Officer; both are expert ...  Show more