Spatial Secrets: Unleashing Language Models with Unexpected Masking by Arvind Sundararajan
dev.to·5h·
Discuss: DEV
🗄️Vector Databases
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·4d
🚀MLOps
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Accelerated Dielectric Barrier Coating Optimization via Multi-Modal Data Fusion & Bayesian Hyperparameter Tuning
dev.to·14h·
Discuss: DEV
🧠Machine Learning
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Asking Our Documents the Right Questions — Locally
manas.tech·1d
⛓️LangChain
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Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap
arxiv.org·5h
📝Natural Language Processing
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Automated Defect Prediction via Cross-Entropy Regularized Graph Neural Networks for Microservice Architectures
dev.to·8h·
Discuss: DEV
🚀MLOps
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Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI
arxiv.org·5h
🤖AI
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How I Built "Backend Mentor" My First Hands-On Integration with Mastra
dev.to·16h·
Discuss: DEV
⛓️LangChain
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·2d·
Discuss: Substack
🤖Transformers
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Information Gain-based Policy Optimization: A Simple and Effective Approach forMulti-Turn LLM Agents
dev.to·8h·
Discuss: DEV
⛓️LangChain
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Augmenting learning in neuro-embodied systems through neurobiological first principles
arxiv.org·5h
🤖Transformers
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Information Gain-based Policy Optimization: A Simple and Effective Approach forMulti-Turn LLM Agents
paperium.net·8h·
Discuss: DEV
🤖AI
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Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders
arxiv.org·5h
🧠Machine Learning
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Understanding the Design of Optimizers with me
dev.to·1d·
Discuss: DEV
🤖AI
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Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
arxiv.org·5h
🚀MLOps
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Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
arxiv.org·5h
🚀MLOps
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MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
arxiv.org·5h
🤖Transformers
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Multi-Representation Attention Framework for Underwater Bioacoustic Denoising and Recognition
arxiv.org·1d
👁️Computer Vision
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Learning and Leveraging Anisotropy Parameters in ANOVA Approximation
arxiv.org·5h
🗄️Vector Databases
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