AI

AI Capability Maturity Model (AI-CMM) The AI Capability Maturity Model (AI-CMM) is a structured framework designed to assess and guide the development of an organization’s AI capabilities. It helps organizations understand where they stand in terms of AI adoption and identifies key areas for improvement as they progress toward a more advanced and integrated use […]

AI Inference Engineer Role An AI Inference Engineer plays a crucial role in the deployment of Machine Learning (ML) models into real-world applications. While machine learning models are trained by data scientists or researchers, the inference engineer focuses on optimizing, scaling, and integrating those models so they can function effectively in production environments. They ensure […]

Reinforcement Learning with Human Feedback Reinforcement Learning with Human Feedback (RLHF) is a method in artificial intelligence (AI) where a machine learns to make decisions by interacting with its environment and receiving feedback from humans. Instead of learning solely through trial and error, RLHF allows a model to be guided by human input to better […]