2140 | SATOSHI ° NOSTR ° AI LLM ML ° LINUX ° BUSINESS • OSINT | HODLER TUTORIAL
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2140 | SATOSHI ° NOSTR ° AI LLM ML ° LINUX ° BUSINESS • OSINT | HODLER TUTORIAL
1.24K subscribers
2140 | SATOSHI ° NOSTR ° AI LLM ML ° LINUX ° BUSINESS • OSINT | HODLER TUTORIAL
⁠#ArtificialIntelligence #ML #ReinforcementLearning #Phi #Reasoning #LLM #Microsoft

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Analytics India Magazine
Reinforcement Learning Won Again, This Time With Microsoft | AIM
Phi-4 Reasoning Plus is the latest model that uses RL to achieve impressive scores on benchmarks.
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2140 | SATOSHI ° NOSTR ° AI LLM ML ° LINUX ° BUSINESS • OSINT | HODLER TUTORIAL
⁠#Article #DeepLearning #RL #ArtificialIntelligence #DeepDives #PolicyGradient #Ppo #ReinforcementLearning

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Towards Data Science
Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO
A beginner-friendly guide to PPO and GRPO: simplifying policy optimization in reinforcement learning
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2140 | SATOSHI ° NOSTR ° AI LLM ML ° LINUX ° BUSINESS • OSINT | HODLER TUTORIAL
⁠Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems
#Article #LLM #Editor #Prompt #Design #learning #optimization #ReinforcementLearning

via Towards Data Science
Telegraph
Exploring Prompt Learning: Using English Feedback to Optimiz…
Prompt learning presents a compelling approach for continuous improvement of AI applications The post Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems appeared first on…
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