Tag: frontier large language models
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Nidus: AI-Assisted Engineering with Externalized Reasoning
Discover Nidus, a governance runtime that externalizes reasoning to enhance AI-assisted engineering, ensuring reliable and compliant software delivery.
KV Cache Management Strategies for Efficient LLM Inference
Explore and compare KV cache management strategies to optimize memory use and boost performance in large language model inference tasks.
EduIllustrate: Scalable AI for Multimodal STEM Content
Discover EduIllustrate, a benchmark for scalable AI-generated multimodal STEM content, enhancing K-12 education with text and diagram integration.
FreakOut-LLM: Emotional Impact on AI Safety Alignment
Explore how emotional stimuli affect safety alignment in large language models, revealing vulnerabilities under stress and improving AI robustness.
Inclusion-of-Thoughts: Stabilizing LLM Decisions by Filtering
Improve large language model accuracy by mitigating preference instability with Inclusion-of-Thoughts, a method that filters distractors in decision-making...