An open-source framework for large language model evaluations from the UK AI Safety Institute, featuring a modular Datasets/Solvers/Scorers architecture, multi-model/tool support, sandboxed execution, and 100+ pre-built benchmarks.
An open-source AI monitoring and governance engine providing LLM hallucination detection, PII identification, prompt injection defense, and traditional ML model evaluation, featuring real-time guardrails and OpenInference support.
Fully automatic censorship removal tool for language models using directional ablation with TPE parameter optimization to remove safety alignment while minimizing refusal behaviors and preserving original model capabilities. Supports dense, multimodal, and MoE architectures.
An AI agent framework built with Rust, powered by ICP blockchain and TEEs, designed to create a highly composable, autonomous, and perpetually memorizing network of AI agents.
An open-source AI model evaluation framework focused on safety and compliance assessment, providing standardized evaluation methods for developers and researchers.
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