AI Firewall and guardrails for LLM-based Elixir applications

Statistical testing and analysis framework for AI research

Advanced telemetry collection and analysis for AI research

Structured causal reasoning chain logging for LLM transparency

Request hedging for tail latency reduction in distributed systems

Data validation and quality library for ML pipelines in Elixir

Multi-model ensemble voting strategies for LLM reliability

Explainable AI (XAI) tools for the Crucible framework

Dataset management and caching for AI research benchmarks

Fairness and bias detection library for Elixir AI/ML systems

CrucibleFramework: A scientific platform for LLM reliability research on the BEAM

Adversarial testing and robustness evaluation for the Crucible framework

Experimental research framework for running AI benchmarks at scale