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Patronus AI launches hallucination detection model Lynx; claims to outperform GPT-4o and Claude-3
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Jul 11, 2024
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Jul 11, 2024

Patronus AI launches hallucination detection model Lynx; claims to outperform GPT-4o and Claude-3

Product updates

  • GenAI security and governance firm Patronus AI launched Lynx, an open-source hallucination detection model designed to address hallucinations in large language models (LLMs). Patronus AI claims that Lynx outperforms other LLMs such as GPT-4o and Claude-3 in detecting hallucinations across various domains, including finance and medicine.

  • The company has also open-sourced HaluBench, a benchmark sourced from real-world domains to assess accuracy of LLM responses in domain-specific scenarios.

  • Patronus AI plans to monetize Lynx through its enterprise solutions such as scalable API access and bespoke integrations suited to specific business needs.

  • Analyst QuickTake: Lynx’s development utilizes the USD 17 million raised by the company in May 2024 . Specifically, proceeds were directed toward scaling Patronus AI's research, engineering, and sales divisions, as well as training evaluation models and formulating new industry-standard benchmarks.

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