TECH & AI
Richard Harmon, Vice President and Global Head of Financial Services at Red Hat It comes back to the importance of taking into account explicit upfront requirements for explainability and trustworthiness when designing a Gen AI-based solution. This should be done within the context of an enterprise AI ops platform, which can support consistency with these requirements as well as standardise and streamline the full model lifecycle management process.
Taking advantage of agentic AI capabilities with embedded LLMs can help establish autonomous oversight processes. These agents are capable of monitoring, validating and rectifying inaccurate, biased, or misleading outputs. Properly configured LLMs can subsequently learn from the evidence generated by this process.
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