At a glance
Overview
Evaluate generative AI models like an expert to revolutionize customer experience and expand employee productivity.
Date & time
Overview
Overview
Who should watch
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Executive and business decision makers
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Solution Architect leaders
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Chief Technology Officers
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Developers / Engineers
Overview
Speakers
David Potes
Sr. Manager, Solutions Architecture: Data, Analytics, and Machine Learning, AWS
John Dickerson
Chief Scientist, Arthur AI
Priya Aurora
Global Head of Generative AI - Center of Excellence, AWS
Zach Fry
Vice President, Engineering, Arthur AI
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Details
Description
Business leaders seek generative AI solutions that can help transform organizations across functions and drive value, at scale. When it comes to choosing the right LLM, leaders face rising expectations to rapidly realize value amid growing security and privacy concerns. Whether pursuing build-on or build-with generative AI services, model selection remains a principal first step.
Leaders from AWS and Arthur AI share why model evaluation is important for both business and technical teams. Learn innovative strategies that will help you select the right LLM to meet your business needs. Understand the importance of model selection, model flexibility, financial and budgetary strategies, and model evaluation criteria.
Highlights
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Understand evaluation criteria for both broad application needs as well as specialized use cases
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Evaluate models based on important criteria such as speed, accuracy, transparency, and more
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Ensure the economics and cost criteria are balanced with your business needs
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Gain confidence in selecting the right approach to evaluate LLM and multi-modal solutions and separate hype from reality
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Glean tips on addressing model hallucinations
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Leverage generative AI solutions from AI21 Labs, Anthropic, Cohere, NVIDIA, and Stability AI in AWS Marketplace