Struggling with building reliable production-ready agents, this ebook is a compilation of field tested eval frameworks, hallucination prevention strategies, real time observability and preventing production failures. If you're owning any GenAI/agentic project or application, this will come in handy- https://shorturl.at/2Zr6g
Turn raw traces into actionable reliability insights: auto-cluster recurring failures and hallucinations, link them to root causes with guided fixes, and track agent-level performance over time across cohorts and user journeys.
The 1st AI-powered testing infra for voice AI: evaluate across thousands of real-world scenarios in minutes using simulated agents that stress-test edge cases, detect multilingual issues, and uncover failures missed by humans. Ship reliable voice AI at scale!
Hi everyone, excited to be here! We just released our AI Evaluation Library - a lightweight, enterprise-grade open source tool to help teams build trustworthy GenAI systems. It integrates real time evals across hallucination rate, factual accuracy, tone consistency, red teaming, prompt injection, and more. Built for agentic workflows, voice, vision, RAG pipelines. Happy to share a demo or collaborate on benchmarks. Our GitHub is open for issues, PRs, and feature ideas. Feedback welcome!
Please do check it out- https://github.com/future-agi/ai...
We enable cameras to identify threats like a security guard with no additional investment, centralized monitoring of any camera worldwide, added security layers of facial grouping and cloth identification, making security managment easy.
Future AGI replaces manual QA for AI models with Critique Agents, eliminating human-in-the-loop methods. Set custom metrics to fit your unique needs and detect errors faster. Reserve human effort for critical tasks and scale efficiently as inferences grow.
