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In this episode Alex Ratner, CEO of Snorkel AI chats with Ninad Singh. They discuss programmatic data labeling, automated annotation, and AI customization. Alex highlights Snorkel AI's transformative role in AI development, scaling startups, and improving performance through specialized data solutions. Snorkel AI aims to revolutionize AI training and development, making it more efficient and tailored to business needs.
In this episode
- How programmatic data labeling speeds up AI development, emphasizing models, infrastructure, and quality data, with significant impacts in banking.
- Transforming general AI models into specialized tools through post-training, fine-tuning, and advanced hardware integration, highlighting the importance of customization in enterprise AI.
- Emphasizing the crucial role of high-quality data labeling and tuning for reliable AI, especially with large language models.
- Alex discusses moving from prototyping to scaling, stressing efficient data labeling interfaces to speed up AI development and tackling challenges in manual data labeling.
- Changes in programmatic data labeling since Snorkel's start, noting the importance of fundamental labeling and tuning techniques despite advancements in large language models to meet enterprise needs.
About our guest
Alex Ratner is the CEO of Snorkel AI, a pioneering company that transforms AI development by programmatically labeling and curating data. With a PhD from Stanford, where the Snorkel project began, and a physics degree from Harvard, Alex blends deep technical expertise with practical experience in finance and consulting. Under his leadership, Snorkel AI has raised $135 million, serving diverse industries like banking and government. His unique skills and strategic insights make him a key figure in the AI space.
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