Tag: adversarial machine learning

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How Fine-Tuning Causes AI Hallucinations and Fixes

Discover why fine-tuning large language models causes hallucinations and learn effective methods to reduce errors and improve AI accuracy.

Natural Gradient Descent with Momentum for Faster ML

Discover how combining natural gradient descent with momentum improves convergence and overcomes local minima in machine learning optimization.

PolicyBank: Enhancing Policy Compliance for LLM Agents

Discover how PolicyBank helps LLM agents evolve policy understanding to improve compliance and reduce errors in dynamic organizational environments.

Multi-Objective LLM Unlearning with Unified Data & Distillation

Discover a novel LLM unlearning framework that balances efficacy, utility, and robustness using unified domain representation and bidirectional logit disti...

Ragged Paged Attention: Fast LLM Inference Kernel for TPU

Discover Ragged Paged Attention, a high-performance LLM inference kernel optimized for TPU, boosting efficiency and reducing costs in large language model...

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