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Titlebook: Deep Reinforcement Learning with Python; RLHF for Chatbots an Nimish Sanghi Book 2024Latest edition Nimish Sanghi 2024 Artificial Intellige

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,Führung in der öffentlichen Verwaltung,that has a good theoretical foundation and then with a nonlinear approach with neural networks. This aspect of combining deep learning with reinforcement learning is the most exciting development and has moved reinforcement learning algorithms to scale.
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ears is still the state-of-the-art policy-based optimization technique in RL. This is followed by a quick overview of LLMs—the architecture, the training process, and the overall LLM ecosystem. The chapter walks through a complete demo of RLHF tuning on a LLM using the state-of-the-art approaches.
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Proximal Policy Optimization (PPO) and RLHF,ears is still the state-of-the-art policy-based optimization technique in RL. This is followed by a quick overview of LLMs—the architecture, the training process, and the overall LLM ecosystem. The chapter walks through a complete demo of RLHF tuning on a LLM using the state-of-the-art approaches.
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