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📢 검색 기능 추가 예정

주민건

기록 = 성장

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23.08.08 (Tue)

LLM Agent Private
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GitHub - microsoft/azurechatgpt: 🤖 Azure ChatGPT: Private & secure ChatGPT for internal enterprise use 💼
🤖 Azure ChatGPT: Private & secure ChatGPT for internal enterprise use 💼 - GitHub - microsoft/azurechatgpt: 🤖 Azure ChatGPT: Private & secure ChatGPT for internal enterprise use 💼
GitHubmicrosoft
GitHub - geekan/MetaGPT: 🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo - GitHub - geekan/MetaGPT: 🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Task...
GitHubgeekan

23.08.05 (Sat)

LLM Survey FM
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Foundational Models Defining a New Era in Vision: A Survey and Outlook
Vision systems to see and reason about the compositional nature of visualscenes are fundamental to understanding our world. The complex relationsbetween objects and their locations, ambiguities, and variations in thereal-world environment can be better described in human language, naturallygover…
arXiv.orgMuhammad Awais
Tracking Anything in High Quality
Visual object tracking is a fundamental video task in computer vision.Recently, the notably increasing power of perception algorithms allows theunification of single/multiobject and box/mask-based tracking. Among them, theSegment Anything Model (SAM) attracts much attention. In this report, wepr…
arXiv.orgJiawen Zhu
Universal and Transferable Adversarial Attacks on Aligned Language Models
Because “out-of-the-box” large language models are capable of generating agreat deal of objectionable content, recent work has focused on aligning thesemodels in an attempt to prevent undesirable generation. While there has beensome success at circumventing these measures -- so-called “jailbreaks…
arXiv.orgAndy Zou
Towards Generalist Biomedical AI
Medicine is inherently multimodal, with rich data modalities spanning text,imaging, genomics, and more. Generalist biomedical artificial intelligence (AI)systems that flexibly encode, integrate, and interpret this data at scale canpotentially enable impactful applications ranging from scientific…
arXiv.orgTao Tu
Aligning Large Language Models with Human: A Survey
Large Language Models (LLMs) trained on extensive textual corpora haveemerged as leading solutions for a broad array of Natural Language Processing(NLP) tasks. Despite their notable performance, these models are prone tocertain limitations such as misunderstanding human instructions, generatingp…
arXiv.orgYufei Wang

23.08.01 (Tue)

LLM Thought RLHF
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Paper page - Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
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Skeleton-of-Thought: Large Language Models Can Do Parallel DecodingXuefei Ning
Paper page - Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
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Open Problems and Fundamental Limitations of Reinforcement Learning from Human FeedbackStephen Casper
Paper page - Med-Flamingo: a Multimodal Medical Few-shot Learner
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Med-Flamingo: a Multimodal Medical Few-shot LearnerQian Huang

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