Meta’s Generative Ads Model (GEM): The Central Brain Accelerating Ads Recommendation AI Innovation
🏛️Clickhouse
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It's been a big week for AI ; Here are 10 massive developments you might've missed:
🦆DuckDB
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Scaling Is All You Need: Understanding sqrt(dₖ) in Self-Attention
🔲Ortholinear Keyboards
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[D] Chances at PhD?
📓Jupyter Notebooks
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Build bridges, not walls
bitfieldconsulting.com·18h
👀Code Review
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Vibe Coding vs. Spec-Driven Development: Finding Balance in the AI Era
devops.com·1d
👀Code Review
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Reducing Consumer Lag in Apache Kafka
📊Apache Kafka
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Nested Learning: How Your Neural Network Already Learns at Multiple Timescales
🔬Synthetic Data
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Fast‑Track Knowledge Bases: How to Build Semantic AI Search by Andriy Burkov
📓Jupyter Notebooks
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NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
arxiv.org·2d
🔄dbt
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RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation
arxiv.org·2d
🎀Decorators
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FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection
arxiv.org·1d
📓Jupyter Notebooks
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URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding
arxiv.org·6h
🔄Data Engineering
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