Tag: artificial neural networks
Browse our exclusive articles!
Why Large Language Models Generate Harmful Content
Explore why large language models create harmful content and discover key findings to improve AI safety and ethical use.
MAVEN-T: Advanced Multi-Agent Neural Trajectory Predictor
Discover MAVEN-T, a multi-agent neural trajectory predictor using reinforcement learning for real-time autonomous driving with high accuracy and efficiency...
NeuronLens: Enhancing LLMs with Range-Based Neuron Attribution
Discover NeuronLens, a novel framework improving LLM interpretability by analyzing neuron activation ranges to overcome polysemanticity challenges.
Scaling Laws and Generalization in MoE Transformers
Explore key scaling laws and generalization bounds for Mixture-of-Experts Transformers to optimize model size, data, and compute trade-offs.
Neural Networks for Accurate Text-to-Speech Evaluation
Explore neural network models that improve Text-to-Speech evaluation accuracy, surpassing human benchmarks in MOS and SBS assessments.