What is Post-Training? Why many models really widen the gap is post-training
Post-training refers to the process by which a model continues to become more useful, stable, and in line with the target task through additional trai...
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Post-training refers to the process by which a model continues to become more useful, stable, and in line with the target task through additional trai...
Mixture of Experts (MoE) is a model architecture that "doesn't put the whole model together every time". Its most important feature is that some layer...
Diffusion LLM can be understood as transferring some core ideas of the "diffusion model" to the language model, generating text in a gradual denoising...
RLVR typically stands for Reinforcement Learning with Verifiable Rewards. The core reason is not that RLHF has failed, but that with the rise of reaso...
Inference models are one of the most frequently mentioned keywords in the AI space in 2025-2026. Compared with the earlier large language models that ...