Serverless NLP Model Training

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

News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles, multilingual news recommendation, and her open-source NewsRecLib ... Show More

Simon is joined by Stephen Liedig to discuss the evolution of serverless technology and its impact on application development, exploring benefits like scalability, cost optimization, and faster dev cycles. They delve into key services and concepts in serverless design, including ... Show More

Today Simon is joined by Rishabh Ray Chaudhury, Sr. Product Manager, to learn more about SageMaker Serverless Inference. We will dive deep into some of the customer use cases that Serverless Inference solves, key benefits of the feature, and how customers can leverage this SageMa ... Show More

Today we’re joined by Nir Bar-Lev, co-founder and CEO of ClearML. In our conversation with Nir, we explore how his view of the wide vs deep machine learning platforms paradox has changed and evolved over time, how companies should think about building vs buying and integration, ... Show More

<p>Machine learning models need updating - what's the reliable way to do it? While in Romania, Richard sat down with Annie Talvasto to talk about her work helping to build DevOps practices around machine learning: Building repeatable processes for data ingestions, cleaning, organ ... Show More

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

Today we’re joined by Erez Barak, Partner Group Manager of Azure ML at Microsoft. In our conversation, Erez gives us a full breakdown of his AutoML philosophy, and his take on the AutoML space, its role, and its importance. We also discuss the application of AutoML as a contribut ... Show More

Sylvain Gugger is a former math teacher who fell into machine learning via a MOOC and became an expert in the low-level performance details of neural networks. He’s now on the ML infrastructure team at Jane Street, where he helps traders speed up their models. In this episode, Sy ... Show More

We sit down with Marcos to discuss Serverless technology, where it fits on the spectrum of technologies and how to use Serverless with Kotlin. For links to show notes, please visit talkingkotlin.com or download the App from the Android Store. 

Today we’re joined by Murali Akula, a Sr. director of Software Engineering at Qualcomm. In our conversation with Murali, we explore his role at Qualcomm, where he leads the corporate research team focused on the development and deployment of AI onto Snapdragon chips, their unique ... Show More