Finding Signal Through the Noise
🧠Machine Learning
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Leading the way in open Earth observation AI
research.ibm.com·2d
👁️Computer Vision
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containers/podman v5.7.0-rc3
github.com·11h
⛓️LangChain
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NOMAD - Navigating Optimal Model Application to Datastreams
arxiv.org·1d
🤖Transformers
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🚀 Exploring Kwala: The No-Code Powerhouse for Blockchain Backend Automation
⛓️LangChain
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Understanding Code Agent Behaviour: An Empirical Study of Success and Failure Trajectories
arxiv.org·1d
📈Model Evaluation
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Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
arxiv.org·1d
⚙️Model Fine-tuning
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7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs
machinelearningmastery.com·2d
📝Natural Language Processing
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Beyond Basic RAG: AI Agents for Context-Aware Responses
thenewstack.io·12h
🔍RAG
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Unlocking the Brain of AI: How Neural Networks Are Changing Everything
👁️Computer Vision
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Building a Production-Ready AI-Powered Robo-Advisor: From Concept to Cloud Deployment
⛓️LangChain
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DORA Metrics: Measuring DevOps Success
📈Model Evaluation
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Challenging DINOv3 Foundation Model under Low Inter-Class Variability: A Case Study on Fetal Brain Ultrasound
arxiv.org·23h
⚙️Model Fine-tuning
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Teaching AI to Take Initiative – Building a Self-Thinking App with LangGraph and Ollama
⛓️LangChain
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Understanding Federated Learning: Best Practices for Implementing Privacy-Preserving AI in C# Projects
⛓️LangChain
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A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI
arxiv.org·1d
⛓️LangChain
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STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack
arxiv.org·1d
📝Natural Language Processing
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Reevaluating Self-Consistency Scaling in Multi-Agent Systems
arxiv.org·1d
⛓️LangChain
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