The Sequence Chat: The Transition that Changes Everything. From Pretraining to Post-Training in Foundation Models
Was this email forwarded to you? Sign up here The Sequence Chat: The Transition that Changes Everything. From Pretraining to Post-Training in Foundation ModelsOne of the most impactful transitions in the generative AI space
The release of GPT-01 marked many important milestones in the generative AI space. The model has sparked a tremendous new phase of innovation in reasoning models which has materialized in the release of models such as DeepSeek’s R1 or Alibaba’s QwQ. The magical reasoning capabilities of these models is powered by an increasing transition from pretraining to post-training computation time. In this essay, we will explore the fundamentals behind that transition highlighting the limitations associated with scaling pretraining and the emerging techniques in post-training. Furthermore, it emphasizes the shift away from traditional reinforcement learning with human feedback (RLHF) towards innovative methodologies that promise to enhance model performance and adaptability. Understanding Pretraining in Foundation Models...Subscribe to TheSequence to unlock the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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Tuesday, December 10, 2024
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📝 Guest Post: Advanced RAG Techniques: Bridging Text and Visuals for More Accurate Responses*
Tuesday, December 10, 2024
In this guest post, Fendy Feng from ZIlliz explores how RAG works, RAG challenges, and advanced RAG techniques like Small to Slide RAG and ColPali. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Edge 453: Distillation Across Different Modalities
Tuesday, December 3, 2024
Cross modal distillation is one of the most interesting distillation methods of the new generation. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Alibaba QwQ Really Impresses at GPT-o1 Levels
Sunday, December 1, 2024
The new model matches and surpasses GPT-o1 on reasoning tasks. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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