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Hallucination Detection

Detect Hallucinations in Generative Al outputs

Factual, Reliable Al Responses

Learn more from your customers without compromising their privacy? Ensure data protection while learning from your customers

Use Cases

Analysts. Researchers and Strateaic Decision Makers

While many organizations are using Generative Al, hallucinations limits their usefulness.

  • Many organizations are implementing transformative new technologies such as Large Language Models ("LLMs") and related AI applications. Yet today's LLM's generate hallucinations - the tendency of the models to generate inaccurate responses. According to recent research, current Generative Al solutions (like ChatGPT) have a hallucination rate of 5% to 20% depending on query type. Agolo functions as a "fact checker" can identify ~90% of these potential factual errors in generative output.

  • Agolo uses domain-specific information from within your organization's content to build a knowledge graph representing the ground truth within that domain, then uses that "ground truth" to evaluate generative Al results from large language models. Importantly, Agolo enables the analysts/data scientist to drill down into the underlying document and make changes/corrections as needed in the Agolo Knowledge Graph. This "human-in-the-loop" capability enables the further reduction of hallucinations over time.

Al System Developers and Fact-checking Platforms

Al hallucinations and misinformation can erode user trust - ensure that every Al response is rooted in a trusted source with Agolo's knowledge base.

  • Generative Al can provide answers that aren't entirely accurate. But with the world demanding factual, transparent, and deterministic Al responses, there's no room for misinformation.

  • By integrating Agolo's Knowledge Graph with LLMs, and using lower model temperatures, Al systems can ensure that the information being served is from a reliable source of truth. Every Al-generated response is not just accurate but also grounded in trusted data controlled and moderated by you, eliminating hallucinations and cementing user trust.

E-commerce Compliance Professionals and Customer Service Managers

Left unchecked, applying Generative Al to customer data can generate both hallucinations and privacy breaches.

  • Every customer query, review, and feedback is a goldmine of information. Yet, with the ever increasing volume of unstructured data, ensuring complete oversight while maintaining customer data protections becomes a challenge.

  • Agolo's technology dives into every chat, email, and customer feedback, flagging identifiable customer information and ensuring continous regulation compliance.