Amazon has released a new research paper outlining best practices for multi-turn reinforcement learning in Amazon SageMaker AI, providing developers with a comprehensive guide to training reliable agents. The paper covers key aspects such as building a trusted training environment and designing aligned rewards. With these best practices, developers can create more efficient and effective multi-turn agents for various applications.
A trio of researchers from Google DeepMind, who previously developed a poker-playing AI, have now founded EquiLibre Technologies, a Prague-based AI lab valued at over $500 million.
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