Leaving PyTorch and Meta
🚀MLOps
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The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·2h
🤖AI
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Lessons from Implementing RAG in 2025
🔍RAG
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SurgAnt-ViVQA: Learning to Anticipate Surgical Events through GRU-Driven Temporal Cross-Attention
arxiv.org·17h
🤖Transformers
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STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack
arxiv.org·2d
📝Natural Language Processing
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<p>**Abstract:** This paper introduces a framework for automated verification of the semantic integrity of scientific literature, termed Automated Semantic Inte...
freederia.com·5h
📝Natural Language Processing
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Show HN: Kumi – a portable, declarative, functional core for business logic
⛓️LangChain
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
🗄️Vector Databases
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Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports
arxiv.org·2d
📝Natural Language Processing
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My dumb prompts that worked better
blog.nilenso.com·2d
📝Natural Language Processing
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Bioaccumulation Modeling via Spatio-Temporal Transformer Networks for Environmental Risk Assessment
👁️Computer Vision
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Silenced Biases: The Dark Side LLMs Learned to Refuse
arxiv.org·17h
🧠Machine Learning
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Sourcing and Collecting Data for Training Large Language Models
pub.towardsai.net·1d
📝Natural Language Processing
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Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
arxiv.org·1d
📝Natural Language Processing
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Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning
arxiv.org·17h
🗄️Vector Databases
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TabGemma: Text-Based Tabular ICL via LLM using Continued Pretraining and Retrieval
arxiv.org·17h
⛓️LangChain
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