Your AI Models Aren’t Slow, but Your Data Pipeline Might Be
thenewstack.io·1d
📮Message Queues
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Pressure to change
maryrosecook.com·1d
📚Self-Documenting Code
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A Formulation of Slop: How Optimization Pressure Destroys Meaning
🔬programming language theory
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StreetMath: Study of LLMs' Approximation Behaviors
arxiv.org·2d
🌱Minimal ML
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Scalable In-Memory Associative Processing for Graph Neural Network Inference
🗺️Region Inference
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Building a Rules Engine from First Principles
towardsdatascience.com·2d
⚖️Inference Rules
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Why vLLM is the best choice for AI inference today
developers.redhat.com·3d
📡Erlang BEAM
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Issue 496
haskellweekly.news·3d
👑Dependent Haskell
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Adaptive continuity-preserving simplification of street networks
sciencedirect.com·19h
💬Smalltalk VMs
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Bayesian prediction of aerospace system mission reliability with hierarchical and multi-fidelity test data fusion
sciencedirect.com·1h
🚂Error Propagation
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Custom Intelligence: Building AI that matches your business DNA
aws.amazon.com·2d
🎭Program Synthesis
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ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for LargeVision-and-Language Models
🪜Recursive Descent
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Automated Predictive Molecular Dynamics for Mycoplasma Contamination Root Cause Analysis
✨Effect Inference
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·2d
💬Smalltalk VMs
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