Snippet: Beyond Language Models: Why Reinforcement Learning Still Matters: Martin Riedmiller, Research Scientist & Controls Team Lead, Google DeepMind
š§ Beyond Language Models: Why Reinforcement Learning Still Matters: Martin Riedmiller, Research Scientist & Controls Team Lead, Google DeepMindWhile large language models have taken center stage with their incredible capabilities, Martin reminds us of something crucial: true intelligence isnāt just about processing existing data, itās about learning from experience.Reinforcement Learning (RL) is the field that helps systems:š± Learn behavior from raw interaction with the worldš¤ Adapt autonomously rather than rely solely on pre-curated dataš§© Discover new strategies that even humans might not think to demonstrateš Continuously evolve through trial, feedback, and iterationAs AI moves forward, scaling models is not enough; we need systems that can teach themselves.The future of AI lies in combining scale with self-learning, not just predicting, but behaving.
Listen to the full podcast- https://premade.outgrow.us/interview-with-Martin-Riedmiller
#DeepMind #ReinforcementLearning #AIResearch #FutureOfAI #MachineLearning #AutonomousSystems #LLM #AIInnovation #GenerativeAI
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