Pipeline RUL prediction method that considers the coupling of multiple corrosion factors: Integrating deep learning and stochastic processes
sciencedirect.com·17h
🔮CPU Branch Prediction
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Evaluating LLMs with LangSmith: A Comprehensive Guide
analyticsvidhya.com·2d
🧪Parser Testing
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The Threats of Agentic AI Data Trails
blogger.com·13h
🏰Capability Machines
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🚀 TOON (Token-Oriented Object Notation) — The Smarter, Lighter JSON for LLMs
📋JSON Parsing
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Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores
arxiv.org·3h
📊Query Optimizers
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Type inference with TryFrom and ()
🛡️Error Handling
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PORTool: Tool-Use LLM Training with Rewarded Tree
arxiv.org·3d
🪜Recursive Descent
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Visual Backdoor Attacks on MLLM Embodied Decision Making via Contrastive Trigger Learning
arxiv.org·3h
🎭Racket
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Day 22: Python Even-Odd Counter – Count Even and Odd Integers in a List with Type Checks
💬Interactive REPLs
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Anthropic Research Shows How LLMs Perceive Text via @sejournal, @martinibuster
searchenginejournal.com·3d
🪜Recursive Descent
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FOCUS: Efficient Keyframe Selection for Long Video Understanding
arxiv.org·3h
🚀Tokenizer Performance
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Curly Flow Matching for Learning Non-gradient Field Dynamics
arxiv.org·3d
🔄Loop Optimization
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A Machine Learning-Based Framework to Shorten the Questionnaire for Assessing Autism Intervention
arxiv.org·3h
✨Effect Inference
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[D] Best (free) courses on neural networks
🌱Minimal ML
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