Day 15: Gradients and Gradient Descent
📱Edge AI
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What Is Graph Anomaly Detection
🕸️Graph Databases
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How to Crack Machine Learning System Design Interviews
pub.towardsai.net·7h
💬Prompt Engineering
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Facility Location for Congesting Commuters and Generalizing the Cost-Distance Problem
arxiv.org·1d
📐Computational Geometry
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Bi-Level Contextual Bandits for Individualized Resource Allocation under Delayed Feedback
arxiv.org·1d
🎯Reinforcement Learning
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TiDAR: Think in Diffusion, Talk in Autoregression
arxiv.org·2d
🌀Naiad
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MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
arxiv.org·2d
💬Prompt Engineering
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Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space
arxiv.org·1d
👁️Computer Vision
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Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis
arxiv.org·1d
👁️Computer Vision
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TARG: Training-Free Adaptive Retrieval Gating for Efficient RAG
arxiv.org·1d
🔍RAG
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AI Annotation Orchestration: Evaluating LLM verifiers to Improve the Quality of LLM Annotations in Learning Analytics
arxiv.org·1d
🚀MLOps
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Google’s new AI training method helps small models tackle complex reasoning
venturebeat.com·6h
💬Prompt Engineering
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Automated Molecular Property Prediction via Graph Transformer Hypernetworks and Bayesian Calibration
Fast‑Track Knowledge Bases: How to Build Semantic AI Search by Andriy Burkov
🧮Vector Databases
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Daily Tech News Roundup - 2025-11-15
⚡ClickHouse
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