The Infrastructure of Modern Ran king Systems, Part 2: The Data Layer - Fueling the Models with Feature and Vector Stores
shaped.ai·2d
🔧Feature Engineering
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Time for a Reboot How We Measure Customer Success
cmswire.com·9h
🌐Distributed Systems
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Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
arxiv.org·21h
🤖AI
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Teach your employees to use AI the right way
thehill.com·12h
🔧Feature Engineering
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·1d
🤖AI
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The Learning Loop and LLMs
🌐Distributed Systems
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Hybrid Quantum-Classical Optimization of the Resource Scheduling Problem
arxiv.org·21h
🌐Distributed Systems
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Lessons from Peter Thiel (2010)
🌐Distributed Systems
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Self-Improving Vision-Language-Action Models with Data Generation via Residual RL
arxiv.org·21h
🔀Transformers
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MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
arxiv.org·21h
📈Time Series
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Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
arxiv.org·21h
🤖AI
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
🔀Transformers
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.com·2d
🔀Transformers
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Agentic AI is complex, not complicated
infoworld.com·17h
🤖AI
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Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning
arxiv.org·21h
🔀Transformers
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Learning Complementary Policies for Human-AI Teams
arxiv.org·21h
🤖AI
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Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning (Paper Review)
pub.towardsai.net·2d
🔀Transformers
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