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IP屬地：浙江
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直接偏好優(yōu)化技術(shù)DPO基礎(chǔ)理論及推導(dǎo)
論文標(biāo)題：Direct Preference Optimization: Your Language Model is Secretly a R...
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自適應(yīng)視圖增強(qiáng)的謠言檢測圖對比學(xué)習(xí)方法論文標(biāo)題：Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning A...
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生成式大模型的RLHF技術(shù)（一）：基礎(chǔ)一怠益、概述 大語言模型（LLMs）在預(yù)訓(xùn)練的過程中通常會捕捉數(shù)據(jù)的特征，而這些訓(xùn)練數(shù)據(jù)通常既包含高質(zhì)量的也包含低質(zhì)量的屠升，因此模型有時會產(chǎn)生不被期望...
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LoRA：大模型下游任務(wù)的低秩適應(yīng)論文標(biāo)題：LoRA: Low-Rank Adaptation of Large Language Models論文鏈接：https://arxi...
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Megatron-LM：Transformer模型專用分布式張量模型并行方法論文標(biāo)題：Megatron-LM: Training Multi-Billion Parameter Language Models Using...
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思維樹：大模型的復(fù)雜推理技術(shù)論文標(biāo)題：Tree of Thoughts: Deliberate Problem Solving with Large Language Mo...
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LIMA：小規(guī)模監(jiān)督數(shù)據(jù)指令微調(diào)論文標(biāo)題：LIMA: Less Is More for Alignment論文鏈接：https://arxiv.org/abs/2305.112...
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語言模型的自洽性思維鏈推理技術(shù)論文標(biāo)題：Self-Consistency Improves Chain of Thought Reasoning in Language Mo...
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GPipe：微批量流水線并行論文標(biāo)題：GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism論文鏈接：https...