Sentra-Guard: Real-Time Multilingual Defense for LLMs
Sentra-Guard offers real-time, multilingual protection against adversarial prompts in large language models with 99.96% detection accuracy.
Agent Adaptation Using Semantic & Episodic Memory Learning
Enhance AI agents' adaptability with semantic and episodic memory for efficient, transparent learning without costly fine-tuning.
MemoryBench: Benchmarking Memory & Continual Learning in LLMs
Discover MemoryBench, a new benchmark to evaluate memory and continual learning in large language models using user feedback across tasks and languages.
Learned Feedback Codes for Enhanced Secure Communications
Discover how learned feedback codes improve security and reliability in communication channels, tackling data breaches and eavesdropping risks.
ATLAS: Adaptive AI Trading with Dynamic Prompt Optimization
Discover ATLAS, an AI trading framework using dynamic prompt optimization and multi-agent coordination to enhance autonomous financial decision-making.