Records found: 4
'VISTA is a multi-agent test-time loop that iteratively refines prompts and selects better videos, improving visual, audio, and contextual alignment and earning strong automatic and human preference gains.'
AegisLLM introduces a dynamic multi-agent system that improves LLM security during inference by continuously adapting to evolving threats without retraining.
Context engineering enhances AI performance by optimizing the input data fed to large language models, enabling more accurate and context-aware outputs across various applications.
Meta introduces Llama Prompt Ops, a Python package that automates the conversion and optimization of prompts for Llama models, easing transition from proprietary LLMs and improving prompt performance.