OpenAI’s O1 model (Project Strawberry) is finally here! In this video, we dive into the revolutionary shift towards inference-time scaling, where AI models “think” more during response generation, allowing smarter decision-making without needing massive models. With the power of reinforcement learning, O1 is trained to perform complex reasoning tasks similar to a PhD student!
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[Link’s Used]:
Blog Post: https://openai.com/index/introducing-openai-o1-preview/
Benchmarks: https://openai.com/index/learning-to-reason-with-llms/
API: https://platform.openai.com/docs/guides/reasoning?reasoning-prompt-examples=research
YouTube Demos: https://www.youtube.com/@OpenAI
Weโll explore:
– How O1 separates reasoning from knowledge
– Why this marks a shift from pre-training compute to inference compute
– Insights from recent research showing how smaller models can outperform larger ones with test-time search
– The challenges and opportunities of productionizing O1 for real-world applications
๐ This is the beginning of a new scaling paradigm for AIโdonโt miss it! ๐
Tags/Keywords: #openaicodex #O1Model #ProjectStrawberry #InferenceScaling #ai #machinelearning #airesearch #reinforcementlearning #AlphaGo #MonteCarloSearch #AIInference #deeplearning #gpt4o
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