Optimizing Prompt Compression for Faster LLM Inference
Explore how prompt compression reduces latency and memory use in LLMs while maintaining quality for faster, cost-effective AI inference.
LogicPoison: Logical Attacks on GraphRAG Systems
Discover how LogicPoison disrupts Graph Retrieval-Augmented Generation by targeting logical graph structures, bypassing defenses and degrading AI reasoning...
Annotator Training Boosts Competence in Social Influence AI
Discover how annotation improves annotator skills and enhances AI models in social influence recognition through expert and non-expert analysis.
Provenance-Based Gradient Guidance for Synthetic Data Learning
Enhance machine learning with provenance-based input gradient guidance to improve synthetic data training and reduce spurious correlations effectively.
Council Mode: Reducing Hallucination & Bias in LLMs
Discover how Council Mode uses multi-agent consensus to cut hallucinations and bias in large language models, boosting accuracy and fairness.