For anyone wanting to take their AI skills to the superhuman level. This workshop is for you.
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Note: this workshop repeats for 4 weeks in a row!
In 2017 Google gave away the Transformer architecture & without anyone knowing it, changed the world forever. The Transformer architecture was the key breakthrough that allowed for the Large Language Models (ChatGPT) that we all know & love today.
Less known however in that same year Google Deepmind did it again, releasing AlphaZero to the world.
Whilst Chatgpt seems like the star, it can only ever approach the limit that is human intelligence.
AlphaZero is the first truly general-purpose algorithm to achieve superhuman results across multiple domains.
To take AI to the next level, smarter than humans, techniques from AlphaZero are already being applied to Large Language Models.
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In this 4-week workshop, hosted at Block's Sydney offices, we are going to equip participants with the knowledge and skills to build the AlphaZero algorithm and apply it to a target domain of their choosing. By incorporating Blockʼs Goose, the workshop offers a unique, interactive learning experience. Goose will serve as a real-time tutor, guiding participants through the syllabus, providing personalised assistance, and managing study schedules.
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Participants can expect to learn a deep understanding of AlphaZero’s core components:
- Reinforcement learning (RL)
- Monte Carlo Tree Search (MCTS)
- Neural Networks
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The Syllabus will cover the following topics:
- RL and Self-Play Basics
- Mastering MCTS
- Neural Network Design
- Data and Self-Play
- AlphaZero Training Workflow
- AlphaZero Evaluation Techniques
- Customising AlphaZero for a new domain
- AlphaZero Optimisation Strategies
To wrap it up participants will get to adapt AlphaZero to a specific domain.
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As our host, we are proud to partner with Block. Block Inc. (NYSE: SQ), the parent company of Square, is a leading financial-technology innovator empowering merchants and individuals worldwide with seamless payment, banking, and commerce solutions.
