The engineering behind AI and ML.
Infer brings ML and AI leaders to share how the world’s leading companies use ML and AI in production.
In this talk, we'll explore the journey of implementing a robust recommender system at Lightricks, a leading provider of photo and video editing tools that offer endless possibilities and inspiration. We focus on key challenges and innovative solutions in delivering personalized recommendations, balancing exploration and exploitation, and accelerating the discovery of high-quality content. Our system helps users easily find video editing templates from millions of user-generated options by leveraging advanced machine learning models and user behavior data. Attendees will gain insights into the architecture of our recommender system, practical strategies to overcome common implementation obstacles, and the impact of these solutions on user satisfaction and engagement. Join us to learn how Lightricks successfully navigated the complexities of recommender systems to enhance user experience and drive content discovery.
The LSports data science team built the world’s first and only AI-based sports narrator. This innovative chat interface allows users to discuss sports event outcomes, providing not only the predicted results but also the reasoning behind them. In the upcoming lecture, Chen will delve into the construction of this AI narrator, the challenges they encountered, and the solutions they developed to overcome these obstacles.
Join Eyal Solnik and Guy Bianco in their insightful session, where they will introduce their solution to address the risks of inaccurate, misleading, and harmful content. Lili AccountantAI is an AI agent that leverages businesses’ financial data and accounting expertise to provide real-time answers to customer queries, just like a human accountant. This might sound like a straightforward solution, but in reality, it’s a challenging task, especially when it comes to financial aspects. We’ll introduce a strategy called “Schematic Questioning” designed to effectively address these risks. We’ll also showcase our journey navigating complex regulatory landscapes, highlighting solutions for delivering a cutting-edge, customer-centric AI advisor that not only provides real-time, high-quality responses but also addresses the challenges of content risks, security, and privacy.
Deploying LLM applications to production demands the right tools and infrastructure for maximum flexibility. With Qwak's latest features, you can optimize and streamline prompt management and model deployment effortlessly.
Join us for the latest solutions in AI and discover the challenges in large-scale ML projects in today’s fast-moving world.