Generating Synthetic Tabular Data that is Differentially Private

How Data-Centric AI Has Revolutionized Document Extraction

Building Domain-Specific AI: The Making of BloombergGPT

How Wayfair Uses AI to Build Better E-Commerce Experiences

How To Harness LLMs To Extract Insights from Text Data

The Future is Neurosymbolic

How Data Powers Stable Diffusion and Generative AI

Data-Centric Development is Key to Production-Level AI

Tackling Advanced Classification Using Snorkel Flow

Weak Supervision and Next-Gen AI-Based Threat Detection

Can SQL Boost Data Organization for ML?

Why You Should Retool Your AI Training Set (Not Your Model)

How Can We Get LLMs To Tell The Truth?

How Caterpillar Links Data and Expertise to Predict Repairs

How to Improve Data and Modeling for Computer Vision Apps

How to Build Powerful Extraction Models with Snorkel Flow

How Comcast Powers AI Speech Recognition with Weak Supervision

AI Insights from Former U.S. Chief Data Scientist

How Insurance Competes in the AI Age

Overcoming the Hidden Hiccups in ML Adoption

How Data Transforms As It Moves Through An Enterprise

Expert Panel: Decoding AI's Future with Open-Source

How Georgetown Helps Data Scientists and SMEs Collaborate on ML

The Making of RedPajama and the Future of Open-Source AI

Maximize ML Model Performance with Two Lines of Code

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