Why model evaluation is important for your business
Those solutions are powered by Large Language Models (LLMs). LLMs are a form of AI algorithm that applies deep learning to analyse and make sense of large volumes of data. From this, they can generate (hence generative) new content.
When choosing the right LLM, leaders face rising expectations to rapidly realise value amid growing security and privacy concerns. Whether pursuing build-on or build-with generative AI services, model selection remains a principal first step.
In this recorded webinar from March 2024, 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.
How AI helps you stay on top of compliance, security, and transparency.
An FAQ for IT and security professionals.
The high-stakes race to deliver AI outcomes safely and at scale.
Rethinking work value in an AI world
How to free up time for security teams while strengthening compliance and resilience.
Move quickly and confidently with secure gen AI.
A strategic advantage for high-risk industries.
Scraping through with the bare minimum, just to keep moving in a difficult economy?
It’s the support your team needs, not the solution itself.
From a cost centre to a value centre.
As AI scales, should there be more concerns about the environmental impact?
Practical guidance on adapting to the regulations.
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