AlphaGo and ChatGPT are two of the most famous and groundbreaking AI systems to date. Although they are designed for different purposes, they share some important similarities, including the use of deep learning, neural networks, and a focus on achieving human-level performance. Not long ago, DeepMind quietly open sourced the core algorithm of AlphaGo.
Monte Carlo tree search is a search algorithm that solves the best move in a turn-based game by selecting, expanding, simulating, and updating nodes in a strategy tree. It is the core algorithm of AlphaGo and AlphaZero, and arguably the most complex component of these AI systems. Making it run efficiently is very difficult. However, by publishing the "mctx" repository, developers now have access to JAX-native Monte Carlo tree searches that run in parallel on batch input at lightning speed.
But how exactly are AlphaGo and ChatGPT similar?
- Deep Learning: Both AlphaGo and ChatGPT use deep learning techniques to process and understand large amounts of data. AlphaGo is trained by thousands of games played by human experts, while ChatGPT is trained by obtaining a large amount of text data from the Internet.
- Neural Networks: Both systems use neural networks to process data and make predictions. AlphaGo uses a combination of convolutional and recurrent neural networks to analyze board states and predict optimal moves, while ChatGPT uses a Transformer-based neural network to generate human-like text.
- Reinforcement Learning: AlphaGo trained its neural network using reinforcement learning by playing itself millions of times and learning from its mistakes. ChatGPT does not use reinforcement learning, but uses unsupervised learning to train its neural network, using a large amount of text data.
- Human-level performance: Both AlphaGo and ChatGPT are designed to achieve human-level performance in their respective domains. AlphaGo beat world champion Lee Sedol in a historic match, while ChatGPT can generate text indistinguishable from human writing.
- Groundbreaking achievements: Both AlphaGo and ChatGPT have achieved groundbreaking achievements in their respective fields. AlphaGo is the first AI system to beat a human world champion at Go, while ChatGPT is one of the most advanced natural language processing systems in the world.
With the release of the "mctx" repository, developers can now explore the inner workings of AlphaGo and AlphaZero and create their own AI systems based on this groundbreaking research.
The open sourcing of this code demonstrates the importance of collaboration and the power of open science.
See the English version for the code link
final words
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