Reinforcement Learning
Reinforcement learning (RL) is a machine learning paradigm in which an agent learns to make decisions by taking actions in an environment and receiving rewards or penalties as feedback, aiming to maximize cumulative reward over time.
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Glossary Terms(10)
AlphaGo
AlphaGo is a reinforcement learning-based AI system developed by Google DeepMind that plays the board game Go, best known for defeating world champion Lee Sedo…
AlphaZero
AlphaZero is a general-purpose reinforcement learning algorithm developed by Google DeepMind that masters chess, shogi, and Go starting from random play, using…
MuZero
MuZero is a reinforcement learning algorithm from Google DeepMind, introduced in 2019, that learns to master games and planning tasks — including chess, shogi,…
Chain of Thought
Chain of thought is a prompting technique that encourages a large language model to generate intermediate reasoning steps before producing a final answer, impr…
Reinforcement Learning
Reinforcement learning (RL) is a machine learning paradigm in which an agent learns to make decisions by taking actions in an environment and receiving rewards…
Supervised Learning
Supervised learning is a machine learning approach in which a model learns to map inputs to outputs by training on a dataset of labeled examples.
Unsupervised Learning
Unsupervised learning is a machine learning approach in which a model finds patterns, structure, or groupings in data without being given labeled outputs.
Gradient Descent
Gradient descent is an optimization algorithm that iteratively adjusts a model's parameters in the direction that most reduces its error, or loss, in order to…
OpenChat
OpenChat is an open-source language model project that fine-tunes base models such as Mistral 7B using C-RLFT (Conditioned Reinforcement Learning Fine-Tuning),…
Zephyr
Zephyr is a family of open, instruction-tuned chat models developed by Hugging Face's H4 team, built by fine-tuning Mistral 7B using Direct Preference Optimiza…