#4660
Mentioned in 1 episodes
OpenAI o1 Model
Advanced Reasoning and Chain-of-Thought Processing
Book •
The OpenAI o1 models are trained using large-scale reinforcement learning to perform complex reasoning.
These models 'think' before responding, breaking down problems into smaller steps and solving them iteratively.
This approach enhances their performance in tasks requiring detailed reasoning, such as coding challenges, math problems, and scientific research.
The models include o1 and o1-mini, with the latter being optimized for speed and efficiency, particularly in coding tasks.
They are pre-trained on diverse datasets, including public, proprietary, and custom datasets, to ensure robust reasoning and conversational capabilities.
These models 'think' before responding, breaking down problems into smaller steps and solving them iteratively.
This approach enhances their performance in tasks requiring detailed reasoning, such as coding challenges, math problems, and scientific research.
The models include o1 and o1-mini, with the latter being optimized for speed and efficiency, particularly in coding tasks.
They are pre-trained on diverse datasets, including public, proprietary, and custom datasets, to ensure robust reasoning and conversational capabilities.
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Mentioned in 1 episodes
Mentioned in the context of DeepSeek R1's performance and comparison to other models.
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#198 - DeepSeek R1 & Janus, Qwen2.5, OpenAI Agents
