The Best Ways to Making LLMs Trustworthy

LLMs are known for hallucinations and we went through the works and papers to condense the what, the why and the hows of mitigating hallucinations.

Discover why even the best of the best LLMs sometimes just “make stuff up.” Learn the main culprits behind hallucinations—bad data, flawed prompts, and more. Understand the four major hallucination types and how they impact AI output. Find out how to measure AI trustworthiness—benchmarks, entropy, and other tools. Implement foolproof methods to prevent hallucinations—better prompts, reciprocity, fine-tuning, and more. Discover SAR, a metric that accurately tells if any LLM is hallucinating 70% of the time without any prior setup See how asking your LLM to “explain itself” can lead to more reliable answers. Explore how to use confidence scores to make your LLM smarter. Techniques in document extraction that prevent AI from “making things up.”

https://nanonets.com/blog/how-to-tell-if-your-llm-is-hallucinating/