How to choose an LLM: Webcast

Why model evaluation is important for your business

Business leaders seek generative AI solutions that can help transform organisations across functions and drive value, at scale.

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.

So what do LLMs mean for your business?

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.

Key takeaways from the session:
  • Understand evaluation criteria for both broad application needs as well as specialized use cases
  • Evaluate models based on important criteria such as speed, accuracy, transparency, and more
  • Ensure the economics and cost criteria are balanced with your business needs
  • Gain confidence in selecting the right approach to evaluate LLM and multi-modal solutions and separate hype from reality
  • Glean tips on addressing model hallucinations
  • Leverage generative AI solutions from AI21 Labs, Anthropic, Cohere, NVIDIA, and Stability AI in AWS Marketplace
When and where?

➡️ Recorded webinar

Technology Spotlight
Related Stories
AI governance: The challenges you can’t ignore
AI governance: The challenges you can’t ignore

How AI helps you stay on top of compliance, security, and transparency.

The use of AI in cyber security
The use of AI in cyber security

An FAQ for IT and security professionals.

3 ways CIOs can achieve strong AI outcomes
3 ways CIOs can achieve strong AI outcomes

The high-stakes race to deliver AI outcomes safely and at scale.

From efficiency to impact
From efficiency to impact

Rethinking work value in an AI world

Putting cybersecurity on autopilot
Putting cybersecurity on autopilot

How to free up time for security teams while strengthening compliance and resilience.

A leader's guide to generative AI
A leader's guide to generative AI

Move quickly and confidently with secure gen AI.

AI security
AI security

A strategic advantage for high-risk industries.

Automate compliance and cut costs
Automate compliance and cut costs

Scraping through with the bare minimum, just to keep moving in a difficult economy?

Rethinking AI in cyber security
Rethinking AI in cyber security

It’s the support your team needs, not the solution itself.

Compliance isn’t a dirty word
Compliance isn’t a dirty word

From a cost centre to a value centre.

The unintended impact of AI
The unintended impact of AI

As AI scales, should there be more concerns about the environmental impact?

Struggling with the EU AI Act?
Struggling with the EU AI Act?

Practical guidance on adapting to the regulations.