Jeff Jonas on how Senzing makes entity resolution easier and more effective.
An Open Source Data Framework for LLMs
Jerry Liu on helping developers augment LLMs with their own private data.
Redefining AI Infrastructure: Deploying and Developing with a Next-Generation Developer Platform
Tim Davis on a programming language for AI, an efficient, user-friendly inference engine for seamless model execution.
The Rise of Custom Foundation Models
Andrew Feldman on How Enterprises Are Building and Deploying Their Own Foundation Models.
The Future of Vector Databases and the Rise of Instant Updates
Louis Brandy on the Critical Need for Incremental Updates and Metadata Filtering.
LLMs Are the Key to Unlocking the Next Generation of Search
Amin Ahmad on how custom foundation models are revolutionizing how we search for information.
Building and Deploying Foundation Models for Enterprises
Jonas Andrulis on packaging and building Foundation Models to provide enterprise AI solutions that are more reliable and trustworthy than…
Building Robust AI Infrastructure for Critical Solutions
Alex Remedios on Enhancing the NHS Early Warning System and Developing Open-Source Tools for MLOps.
Machine Learning for High-Risk Applications
Patrick Hall and Agus Sudjianto on tools, techniques, best practices for Responsible AI.
Boosting Perception With Synthetic Data
Omar Maher provides a comprehensive look at the adoption, developments, and challenges in the world of Synthetic Data Generation.