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Setting the Bar: Standardizing LLM Evaluations for Consistency and Trust
LLM-driven applications offer immense opportunities but also come with significant risks. The absence of standardized techniques for evaluating these models being one of them. We explore the latest advancements and best practices in LLM evaluation to address this critical gap.
How would emerging AI Risk management frameworks work with the EU AI Act?
Increase in AI risks has brought about numerous AI risk frameworks. How do these stack up and do they also help you comply? Find out.
Right-Sizing AI Risk: Smarter Strategies for Effective Management
How do you keep your AI risk management framework flexible but still relevant and effective?
Cracking the Code: The EU Framework for Trustworthy AI
The European Commission, between 2018 and 2020, identified two key policy objectives in order to increase the uptake of AI, address AI risks and avoid market fragmentation. These consisted of establishing common EU policies in order to establish an ecosystem of trust in AI and an ecosystem of excellence in AI.
Building Trustworthy AI: Your Playbook to Crafting an AI Governance Framework
How do you comply with the EU AI Act? Which emerging AI risk management frameworks are best suited for your organization? How should you prepare for the new AI liability regimes planned? How do you right size AI risk management given how fast AI technology changes?