Explore the essential steps for governing generative AI in this blog by Ben Saunders. As generative AI becomes a powerful tool for innovation, it's crucial to establish robust guardrails and controls to prevent unintended consequences. Learn about the potential risks of unrestricted AI use, including ethical and legal implications, and discover how to implement technical controls and governance frameworks to ensure responsible AI deployment. Stay ahead in the digital age by adopting effective governance strategies that balance innovation with accountability.

In the rapidly advancing field of Artificial Intelligence, particularly with Large Language Models (LLMs) from OpenAI, Google, and others, fine-tuning these models remains essential. This blog explores why fine-tuning is crucial for industry-specific applications, enhancing customer experience, and boosting employee productivity. It delves into LLMOps, a specialized framework ensuring efficient, reliable, and compliant operations of LLMs. By focusing on data management, model development, prompt engineering, deployment, observability, ethical evaluations, and reinforcement learning, organizations can harness LLMs' full potential while maintaining regulatory compliance and operational excellence.