Creating Lisp Systems
renato.athaydes.com·4h·
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🤖Software Engineering with AI
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
jstrieb.github.io·2h·
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AI Function Calling: Composing and Decomposing Functions for Complex Tasks
lightcapai.medium.com·17h·
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The Evolution from RAG to Agentic RAG to Agent Memory
leoniemonigatti.com·23h·
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I Use AI
ben.stolovitz.com·21h·
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Learning Deformable Body Interactions With Adaptive Spatial Tokenization
machinelearning.apple.com·1d
🧬Computational Neuroscience
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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification
arxiv.org·7h
📈macroeconomics
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Unlock Autonomy: Next-Gen LLMs Learn to Decode Themselves by Arvind Sundararajan
dev.to·2d·
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NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion
arxiv.org·1d
🧬Computational Neuroscience
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.org·1d
🧬Computational Neuroscience
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Multi-Modal Feature Fusion for Spatial Morphology Analysis of Traditional Villages via Hierarchical Graph Neural Networks
arxiv.org·2d
🧬Computational Neuroscience
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NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
arxiv.org·7h
🧬Computational Neuroscience
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Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph
arxiv.org·1d
🧬Computational Neuroscience
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The Biased Oracle: Assessing LLMs' Understandability and Empathy in Medical Diagnoses
arxiv.org·1d
🤖Software Engineering with AI
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Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
arxiv.org·1d
🤖Software Engineering with AI
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·2d
🤖Software Engineering with AI
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NOMAD - Navigating Optimal Model Application to Datastreams
arxiv.org·1d
🧬Computational Neuroscience
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Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+
arxiv.org·2d
🤖Software Engineering with AI
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·3d·
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Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
arxiv.org·1d
🤖Software Engineering with AI
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