LLM

Article

Generative Al tools like Gemini and GPT promise to automate and augment knowledge-based work. Data professionals must adapt to this transformation by acquiring new skills and playing a central role in their organization's AI-driven future. Data preparation, curation, ethical sourcing and labeling, and collecting user feedback become crucial as high-quality data is essential for effective LLM based application.

★ ★ ★ ★ ★ ★ ★ ★ ★ ★

You rated this post out of 5. Change rating

2024-03-04

2,711 reads

Discuss

Forget the Models, Your Data is the Secret Sauce for Generative AI

by Amit Rai

SQLServerCentral

Article

Generative AI holds immense potential for businesses, but its success depends on the quality of your data. High-quality, strategically managed data is essential for building trustworthy, unique, and competitive AI applications. This article explores how AI leverages your data through embeddings, outlines best practices for data management, and emphasizes the importance of responsible AI development. By prioritizing data quality and effective management, you'll position your business to reap the full benefits of Generative AI and drive innovation.