Future AGI
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AuditHub
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Building an AI agent is easy. Knowing if it works is hard. Keeping it working is impossible. Future AGI is the open-source platform that takes AI agents from first prompt to production - and keeps making them better with every version. โ Experiment with prompts, models, and configurations in one place โ Simulate against thousands of synthetic users - voice and text before launch โ Evaluate every agent data, decision and response, shield every input, in real time โ Route every model call through one gateway with fallback and caching โ Trace and replay every step in production, across every framework โ Auto-improve agents from real production failures, fix by fix Apache 2.0 | Self-hostable | Free.
AuditHub is a blockchain security platform that provides continuous automated security for smart contracts and zero-knowledge circuits. Built by Veridise, AuditHub combines four proprietary tools: Vanguard (smart contract static analysis), OrCa (specification-guided fuzzing), Picus (ZK circuit formal verification), and ZK Vanguard (ZK circuit static analysis). The platform enables development teams and audit firms to catch critical vulnerabilities before deployment through mathematical verification rather than point-in-time manual audits.
Built by Veridise. https://veridise.com/
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AuditHub's answer:
AuditHub's answer:
The tools in AuditHub trace directly to the UToPiA research group at UT Austin, led by Professor Isil Dillig. Starting in 2018, program analysis for smart contracts became a central research focus. The result: peer-reviewed breakthroughs that now run in production.
Based on our record, Future AGI seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Overview: Future AGIโs Synthetic Data Studio allows teams to create evaluation datasets, agent simulation environments, and fine-tuning sets across several modalities. - Source: dev.to / about 1 year ago
I am excited to open-source something we've spent months perfecting at Future AGI: a robust AI Evaluation Library that meets the needs of modern GenAI teams in this probabilistic Agentic world, without black-box limitations. AI evaluation remains the hardest unsolved problem in our field. How do you measure the accuracy of your eval pipeline? How do you evaluate the evaluator? How do you trust your metrics when... - Source: dev.to / about 1 year ago
At Future AGI,we understand the importance of AI-aided quality systems. Our state-of-the-art AI-enhanced solutions for testing and debugging are geared to aid businesses by bettering their development cycles and improving the quality of software. To check further on our novel approach to QA, go to the Future AGI. - Source: dev.to / over 1 year ago
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