Glossary

Helping artificial intelligence (AI) make decisions, a reasoning system is software that uses logical deduction and induction to draw conclusions from existing knowledge.

Llm Red Teaming refers to the strategic method of probing, testing, and scrutinizing LLMs to identify potential errors or security weaknesses that could result in undesirable responses. Inspired by cybersecurity tactics.

Reinforcement Learning Theory is a field of machine learning. It determines the actions of agents to maximize rewards. It has roots in psychology and utilizes dynamic programming, Monte Carlo methods, and temporal difference learning.

Reinforcement learning is a potent branch of machine learning, where software agents determine the ideal behavior within a context to maximize cumulative rewards. It encapsulates learning via trial and error, and interaction with its environment, which is instrumental in discovering the most rewarding actions.

The Recurrent Neural Network (Rnn) is an artificial neural network that excels in identifying patterns in sequential data like text, genomes, & spoken words.

The Qualification Problem refers to the difficulty in defining all essential preconditions for a specific action or result in real-world scenarios. Prepare thoroughly for uncertainty.