Article•Overcoming LLM Hallucinations with Trustworthiness ScoresIn today's AI-driven world, businesses increasingly rely on large language models (LLMs) to scale operations. However, the risk of AI generating inaccurate or misleading information can also scale, posing significant challenges. This article delves into trustworthiness scoring, exploring its key dimensions and techniques. Through real-world examples, we show how trustworthiness scores can help mitigate LLM hallucinations, making your AI solutions more reliable and accurate. Discover how to enhance the trustworthiness of your AI implementations in our comprehensive guide, with a nod to the work done by MIT's CleanLabs.
Article•The Road to Trustworthy LLMs: How to Leverage Retrieval-Augmented GenerationPeople say generative AI is prone to hallucinations, but using specific techniques we can greatly enhance both precision and transparency. Join us as we take you on a survey of how Retrieval Augmented Generation, a.k.a. RAG, can show you what's behind the AI curtain.