RLHF

The Sycophantic Behavior of RLHF Models from Claude to GPT-4

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The Sycophantic Behavior of RLHF Models from Claude to GPT-4

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted … Read more

In-Depth Analysis of RL Strategies in Mainstream Open-Source LLMs

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In-Depth Analysis of RL Strategies in Mainstream Open-Source LLMs

The author is from Meta, an internet practitioner, focusing on LLM4Code and LLMinfra. The original text is from Zhihu, link: https://zhuanlan.zhihu.com/p/16270225772 This article is for academic/technical sharing only. If there is any infringement, please contact for removal. RLHF is an important part of LLM training. With the development of open-source models, we observe that some … Read more

In-Depth Study of Qwen 2.5 Paper

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In-Depth Study of Qwen 2.5 Paper

Introduction I must say, Qwen is really impressive. It seems that its foundational capabilities have firmly established it as the leader in open source, and it is not at all inferior compared to most closed sources. Many companies’ foundational teams are likely already being judged on the significance of foundational models. Qwen’s open-source momentum is … Read more

Vector Embeddings: Solving AutoGPT’s Hallucination Problem?

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Vector Embeddings: Solving AutoGPT's Hallucination Problem?

Source | Eye on AIOneFlow Compilation and Translation | Jia Chuan, Yang Ting, Xu Jiayu “The hallucination problem of ‘serious nonsense’ is a common issue that large language models (LLMs) like ChatGPT urgently need to address. Although reinforcement learning from human feedback (RLHF) can adjust the model’s output for errors, it is not efficient or … Read more