RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
A symmetrical, bell-shaped distribution of data where most observations cluster around the mean.
A set of algorithms, modeled loosely after the human brain, designed to recognize patterns and perform complex tasks.
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results.
CSM (Customer Success Management) is a business methodology focused on ensuring customers achieve their desired outcomes while using a product or service.
The process of transitioning an organization to agile methodologies, including changes in culture, processes, and practices.
Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains.