Glossary

Reinforcement Learning from AI Feedback (RLAIF) is an advanced technique in artificial intelligence. It merges traditional Reinforcement Learning practices with feedback from another AI, thus enhancing adaptability and performance of AI and LLM systems.

RLHF stands for Reinforcement Learning from Human Feedback, an innovative technology in artificial intelligence that combines the reinforcement technique with human feedback to train AI agents. It resolves complex tasks where definition of a reward function can be daunting.

Retrieval-Augmented Generation is a key technique in natural language processing, enhancing Large Language Models’ outputs. By integrating external knowledge sources, it boosts precision and reliability in AI-generated text.

Explore the world of Robotics, a tech-field that focuses on designing, building, operating, structuring, producing, and utilizing robots in diverse applications.

Responsible AI is all about creating and executing artificial intelligence systems that balance ethical values, safety measures, and business objectives, thereby fostering mutual trust and fairness among business entities, individuals, and customers.

Retrieval Pipelines are crucial in data management, streamlining the process for efficient data flow from the source to the desired application, ensuring optimal productivity.