Date
Monday Nov 18 / 03:55PM PST ( 50 minutes )
Location
Seacliff D
Video
Video is not available
Slides
Slides are not available
Unconference: AI and ML for Software Engineers
From the same track
Session
AI/ML
Recommender and Search Ranking Systems in Large Scale Real World Applications
Monday Nov 18 / 01:35PM PST
Recommendation and search systems are two of the key applications of machine learning models in industry. Current state of the art approaches have evolved from tree based ensembles models to large deep learning models within the last few years.
Moumita Bhattacharya
Senior Research Scientist @Netflix, Previously @Etsy, Specialized in Machine Learning, Deep Learning, Big Data, Scala, Tensorflow, and Python
Session
Knowledge Graphs
Enhance LLMs’ Explainability and Trustworthiness With Knowledge Graphs
Monday Nov 18 / 10:35AM PST
Graphs, especially knowledge graphs, are powerful tools for structuring data into interconnected networks. The structured format of knowledge graphs enhances the performance of LLM-based systems by improving information retrieval and ensuring the use of reliable sources.
Leann Chen
AI Developer Advocate @Diffbot, Creator of AI and Knowledge Graph Content on YouTube, Passionate About Knowledge Graphs & Generative AI
Session
AI/ML
Why Most Machine Learning Projects Fail to Reach Production and How to Beat the Odds
Monday Nov 18 / 02:45PM PST
Despite the hype around AI, many ML projects fail, with only 15% of businesses' ML projects succeeding, according to McKinsey. Particularly with the significant investments in large language models and generative AI, only a small portion of companies have managed to realize their true value.
Wenjie Zi
Senior Machine Learning Engineer and Tech Lead @Grammarly, Specializing in Natural Language Processing, 10+ Years of Industrial Experience in Artificial Intelligence Applications
Session
AI/ML
Reinforcement Learning for User Retention in Large-Scale Recommendation Systems
Monday Nov 18 / 05:05PM PST
This talk explores the application of reinforcement learning (RL) in large-scale recommendation systems to optimize user retention at scale - the true north star of effective recommendation engines.
Saurabh Gupta
Senior Engineering Leader @Meta, Veteran in the Video Recommendations Domain, Helping Scale Video Consumption
Gaurav Chakravorty
Uber TL @Meta, Previously Worked on Facebook Video Recommendations and Instagram Friending and Growth
Session
Scale Out Batch Inference with Ray
Monday Nov 18 / 11:45AM PST
As AI technologies continue to evolve, the demand for processing both structured and unstructured data across diverse industries is rapidly growing.
Cody Yu
Staff Software Engineer and Tech Lead @Anyscale, Ex-Amazonian, vLLM Committer, Apache TVM PMC