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dev.to > neurondb_support_d73fa7ba > retrieval-augmented-generation-architectures-patterns-and-production-reality-49g1

Retrieval Augmented Generation: Architectures, Patterns, and Production Reality

Retrieval Augmented Generation: Architectures, Patterns, and Production Reality45+ min ago   (583+ words) Large language models generate fluent text. They fail to meet grounding, traceability, freshness, and access control requirements. Retrieval-Augmented Generation addresses this by forcing models to answer using external evidence. Early RAG used one simple pipeline. Production systems now use multiple…...

Quantum Zeitgeist
quantumzeitgeist.com > classification-sal-achieves-across-benchmarks-learning0

Sal Achieves Improved Classification Across 10 Benchmarks With Novel Learning

Sal Achieves Improved Classification Across 10 Benchmarks With Novel Learning51+ min ago   (873+ words) Researchers have developed a new learning method, Selective Adaptive Learning, which improves the performance and scalability of artificial neural networks by mimicking the brain's ability to focus on specific parameter regions during training, achieving competitive accuracy even in very large…...

Quantum Zeitgeist
quantumzeitgeist.com > networks-identifiable-equivariant-layerwise-equivariance-group

Identifiable Equivariant Networks Achieve Layerwise Equivariance With Group Actions On Inputs

Identifiable Equivariant Networks Achieve Layerwise Equivariance With Group Actions On Inputs1+ hour, 3+ min ago   (831+ words) Researchers have mathematically demonstrated that neural networks can learn equivariant structures during training, revealing a link between overall input-output symmetry and layer-by-layer symmetry under specific, identifiable parameter conditions. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-35-18.jpg Researchers have long observed that neural networks trained on equivariant data…...

Quantum Zeitgeist
quantumzeitgeist.com > representation-holonomy-achieves-robustness-measuring

Representation Holonomy Achieves Robustness By Measuring Input Path Dependence With Zero Twist

Representation Holonomy Achieves Robustness By Measuring Input Path Dependence With Zero Twist1+ hour, 8+ min ago   (804+ words) Researchers have developed representation holonomy, a new method for assessing the geometric structure of machine learning models by measuring how features change along input variations, revealing hidden vulnerabilities to disruption and offering a more nuanced understanding of model robustness than…...

Quantum Zeitgeist
quantumzeitgeist.com > tabclustpfn-achieves-robust-tabular-data

Tabclustpfn Achieves Robust Tabular Data Clustering Via Bayesian Inference And Priors

Tabclustpfn Achieves Robust Tabular Data Clustering Via Bayesian Inference And Priors1+ hour, 27+ min ago   (804+ words) Researchers have developed a new machine learning model, TabClustPFN, capable of accurately grouping tabular data without prior training or manual adjustments by learning from a broad range of synthetic datasets and inferring both cluster assignments and the optimal number of…...

Quantum Zeitgeist
quantumzeitgeist.com > duet-achieves-efficient-llm-unlearning

Duet Achieves Efficient LLM Unlearning, Avoiding Catastrophic Forgetting And Reverse Attacks

Duet Achieves Efficient LLM Unlearning, Avoiding Catastrophic Forgetting And Reverse Attacks1+ hour, 52+ min ago   (1095+ words) Researchers have developed a new unlearning technique, DUET, which efficiently removes unwanted information from large language models by distilling knowledge from a specially guided "teacher" model, thereby improving both accuracy and retention of useful information with significantly less data than…...

thehansindia.com
thehansindia.com > news > national > ai-led-skilling-for-a-technology-driven-economy-1044431

AI-led skilling for a technology-driven economy

AI-led skilling for a technology-driven economy1+ hour, 58+ min ago   (124+ words) Underscores the urgency of reorienting India's skilling ecosystem toward adaptability and AI-driven learning. Prof. Saurabh Mittal, Chair Executive, FORE School of Management, New Delhi "The... Underscores the urgency of reorienting India's skilling ecosystem toward adaptability and AI-driven learning Saurabh Mittal,…...

lesswrong.com
lesswrong.com > posts > xCtBpJwpkkbkfmApc > do-llms-learn-our-preferences-or-just-our-behaviors

Do LLMs Learn Our Preferences or Just Our Behaviors? — LessWrong

Do LLMs Learn Our Preferences or Just Our Behaviors? — LessWrong2+ hour, 17+ min ago   (145+ words) There's a paper empirically measuring this that not many people here seem to have read. Ashkinaze et al. created training data where moral values were confounded with surface features. Kindness always expressed formally, fairness always expressed casually. Then they broke…...

Quantum Zeitgeist
quantumzeitgeist.com > 90-percent-accuracy-evaluation-llm-achieves-define-test-diagnose

LLM Evaluation Achieves 90% Accuracy With New Define-Test-Diagnose-Fix Workflow

LLM Evaluation Achieves 90% Accuracy With New Define-Test-Diagnose-Fix Workflow2+ hour, 48+ min ago   (785+ words) Researchers have developed a practical, iterative testing workflow and a tiered evaluation suite to reliably assess the performance of large language models, revealing that improvements in one area can inadvertently diminish accuracy in others, necessitating careful calibration of claims rather…...

BIOENGINEER.ORG
bioengineer.org > enhancing-ai-with-trusted-third-party-federated-feature-selection

Enhancing AI with Trusted Third-Party Federated Feature Selection

Enhancing AI with Trusted Third-Party Federated Feature Selection2+ hour, 48+ min ago   (1097+ words) In the evolving landscape of artificial intelligence, one of the most profound challenges faced by researchers and developers alike is the selection and optimization of features for machine learning algorithms. The ability to identify which attributes most significantly influence outcomes…...