The Promise and Peril of Large Language Models
Generative AI has been popularized recently by various emerging applications such as ChatGPT, Bard and Dall-E that generate content in response to natural language queries or instructions. And while these applications may be novelties at the moment, we expect the adoption of generative AI to grow rapidly.
Broadly speaking, AI has traditionally been used to identify patterns in data and apply those patterns to categorize and predict behaviors. For instance, it can organize customers into groups with similar characteristics or predict which customers are most likely to respond to certain offers. However, as the name implies, generative AI can be used to create new content, including text, digital images, audio, video or even computer programs.
It's worth understanding how generative models work to understand their value and some of their limitations.
Watch and listen to David Menninger to learn more!
The Promise and Peril of Large Language Models
Generative AI has been popularized recently by various emerging applications such as ChatGPT, Bard and Dall-E that generate content in response to natural language queries or instructions. And while these applications may be novelties at the moment, we expect the adoption of generative AI to grow rapidly.
Broadly speaking, AI has traditionally been used to identify patterns in data and apply those patterns to categorize and predict behaviors. For instance, it can organize customers into groups with similar characteristics or predict which customers are most likely to respond to certain offers. However, as the name implies, generative AI can be used to create new content, including text, digital images, audio, video or even computer programs.
It's worth understanding how generative models work to understand their value and some of their limitations.
Watch and listen to David Menninger to learn more!
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Featured Speaker:

David Menninger
Executive Director, Technology Research
David Menninger leads technology software research and advisory for Ventana Research, now part of ISG. Building on over three decades of enterprise software leadership experience, he guides the team responsible for a wide range of technology-focused data and analytics topics, including AI for IT and AI-infused software.