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neowin.net·1d
⛓️LangChain
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Why Nonparametric Models Deserve a Second Look
towardsdatascience.com·1d
🧠Machine Learning
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Agents were LLMs all along
terezatizkova.substack.com·12h·
Discuss: Substack
⛓️LangChain
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<p>**Random Sub-Field of 문화의 기원 Selected:** Oral Transmission and Memory Systems in Early Agricultural Societies **Research Paper Title:** **Quantifying Tempora...
freederia.com·2h
📝Natural Language Processing
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Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL
clarvo.ai·1d·
Discuss: Hacker News
🗄️Vector Databases
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A Machine Learning Approach for Predicting Health Scores from Lifestyle Data
pub.towardsai.net·5h
🧠Machine Learning
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🧠 Soft Architecture (Part B): Emotional Timers and the Code of Care (Part 5 of the SaijinOS series)
dev.to·15h·
Discuss: DEV
🤖AI
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Automated Figure-Text Alignment & Knowledge Extraction for Scientific Literature
dev.to·2d·
Discuss: DEV
📝Natural Language Processing
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RefusalBench: Generative Evaluation of Selective Refusal in Grounded LanguageModels
paperium.net·31m·
Discuss: DEV
⛓️LangChain
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Developer Case Study: Cursor and Claude Code Suggested Building a Proxy. Shotgun CLI Found LiteLLM Instead.
dev.to·12h·
Discuss: DEV
🚀MLOps
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Detached agent chains that work like people do
dev.to·1d·
Discuss: DEV
⛓️LangChain
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REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
arxiv.org·42m
⚙️Model Fine-tuning
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Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG
arxiv.org·1d
🔍RAG
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<p>**Abstract:** This paper introduces a novel framework for automated oligoclonal B-cell signature profiling and therapeutic response prediction in Multiple Sc...
freederia.com·26m
🧠Machine Learning
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MIT researchers propose a new model for legible, modular software
news.mit.edu·16h
⛓️LangChain
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Bridging the Digital Divide: Automated Accessibility Assessment via Semantic Graph Analysis of Educational Content
dev.to·9h·
Discuss: DEV
📝Natural Language Processing
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Probabilistic Textual Time Series Depression Detection
arxiv.org·42m
📊Data Science
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Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
arxiv.org·42m
🧠Machine Learning
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·4d·
Discuss: DEV
🧠Machine Learning
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A brief guide for those who slept (on AI) the last two years
github.com·1d·
Discuss: DEV
🚀MLOps
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