Building Trust in AI: How Cleanlab’s TLM Enhances RAG Systems with LlamaIndex
Introduction
In today’s world, where AI is making waves across every industry, there’s a growing need for systems we can trust. If you’ve ever used an AI-powered tool to search for answers or generate content, you’ve likely noticed that while impressive, these systems sometimes miss the mark. They may give you incomplete, inaccurate, or overconfident responses, which leaves room for improvement, especially in crucial fields like law, medicine, or finance. That’s where Cleanlab’s Trustworthy Language Model (TLM) comes in — designed to make AI more reliable and, importantly, more human.
What is Retrieval-Augmented Generation (RAG)?
Before we dive into Cleanlab’s solution, let’s talk about Retrieval-Augmented Generation (RAG). Imagine you ask an AI a complex question, and instead of pulling an answer from its vast (but sometimes spotty) memory, it first digs through documents or databases to find relevant information. This is RAG in action — combining the strengths of language models and information retrieval to give you…
