AI Hallucinations: Detecting and Managing Errors in Large Language Models (Key AI Insights for Businesses)

Pitch Please

Dive into the critical challenges and solutions in AI with this episode of Founder Stories on the Pitch Please podcast! Featuring Mike Thibodeau alongside Jai Mansukhani and Anthony Azrak, co-founders of OpenSesame, this discussion focuses on how companies can detect and manage AI hallucinations in Large Language Models (LLMs) to ensure reliable AI systems.

What are AI hallucinations? Understand how hallucinations occur in AI systems and the risks they pose for businesses using generative AI.

The role of OpenSesame: Learn how OpenSesame provides an easy-to-implement solution to detect and flag AI hallucinations, ensuring accuracy in AI-generated results.

Use cases for AI detection tools: Explore real-world examples of how industries like healthcare, legal, and B2B are leveraging OpenSesame to mitigate AI risks.

The future of AI and hallucination prevention: Insights into how AI models are evolving and why managing hallucinations will be key to building scalable, reliable AI systems.

For more insights on AI hallucinations and how to avoid them, check out this detailed ⁠blog post on OpenSesame 2.0.

Key Takeaways for Businesses:

• AI hallucinations can lead to significant business risks, especially in high-stakes industries like healthcare and legal sectors.

• OpenSesame helps businesses flag and manage hallucinations in LLMs, ensuring reliable AI results.

• By using OpenSesame, companies can focus on building trustworthy AI solutions while minimizing errors and avoiding costly mistakes. As AI adoption grows, tools to detect hallucinations will become critical to ensuring scalable and accurate AI systems.

For more on how OpenSesame can benefit your business, check out ⁠⁠this video demo ⁠on OpenSesame's hallucination detection services.

Chapters

00:00 - Introduction and Background

06:13 - The Problem of Hallucinations in AI

09:42 - Becoming Entrepreneurs and Starting Open Sesame

12:05 - Overview of Open Sesame

14:06 - Detecting and Flagging Hallucinations

18:20 - Target Audience and Use Cases

21:34 - Integration and Future Plans

23:17 - Working with Models and Future Plans

24:14 - Building a Strong Community in Toronto

25:08 - The Importance of Rapid Iteration and Feedback

27:39 - The Role of Community and Brand in AI

29:49 - Seeking Talented Engineers and Partnerships

More About OpenSesame:

OpenSesame is revolutionizing the way companies detect and manage AI hallucinations. By offering an easy-to-use solution, they enable businesses to implement more reliable AI systems. With a focus on accuracy and scalability, Open Sesame is helping to shape the future of AI.

Learn more about Jai and Anthony on their ⁠LinkedIn Profile and explore OpenSesame’s approach to reliable AI solutions by visiting their ⁠website⁠.

Want to Connect?

• Jai Mansukhani: ⁠LinkedIn⁠

• Anthony Azrak: ⁠LinkedIn⁠

• OpenSesame: ⁠LinkedIn⁠

• Website: ⁠OpenSesame.dev

Want to try it out?

Pitch Please listeners get 1-month free and a personal onboarding session with OpenSesame! Get started and book a call with OpenSesame today! https://opensesame.dev