Our latest fraud and scams advisory
blog.google·3h
📝Natural Language Processing
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True autonomy is the only way machines can belong to us
cointelegraph.com·9h
⛓️LangChain
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Forecasting the future of forests with AI: From counting losses to predicting risk
research.google·1d
🚀MLOps
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Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·1h·
Discuss: Hacker News
🚀MLOps
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'Self-driving' lab learns to grow materials on its own
techxplore.com·3h
🤖AI
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Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources
towardsdatascience.com·2d
📝Natural Language Processing
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Brain-inspired chips are helping electronic noses better mimic human sense of smell
techxplore.com·2d
🤖Transformers
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Modeling Headway in Heterogeneous and Mixed Traffic Flow: A Statistical Distribution Based on a General Exponential Function
arxiv.org·13h
📈Model Evaluation
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Improving Gene Trees without more data
arxiv.org·13h
🗄️Vector Databases
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How to deploy the NE101 rapidly and at scale?
hackster.io·15h
🚀MLOps
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Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
machinelearning.apple.com·2d
🔍RAG
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Unleash Your Pet's Inner Muse: Personalized AI Art is Here!
dev.to·7h·
Discuss: DEV
🤖AI
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AI and Ethical Personalization: Designing for Relevance Without Losing Trust
dev.to·2d·
Discuss: DEV
🧠Machine Learning
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<i>SDMapCH</i>: a Comprehensive database of &gt;7,500 modelled species habitat suitability maps for Switzerland
nature.com·4h
🗄️Vector Databases
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Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling
arxiv.org·1d
🚀MLOps
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UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
paperium.net·3d·
Discuss: DEV
🗄️Vector Databases
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Mitigating Semantic Collapse in Partially Relevant Video Retrieval
arxiv.org·3d
🗄️Vector Databases
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FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
arxiv.org·2d
🤖AI
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Systematizing LLM Persona Design: A Four-Quadrant Technical Taxonomy for AI Companion Applications
arxiv.org·13h
⛓️LangChain
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AI-Driven Predictive Hazard Mitigation via Dynamic Structural Health Monitoring
dev.to·1d·
Discuss: DEV
🧠Machine Learning
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