April Fools Prank: New No-hallucinations LLM

Vectara has announced the creation of nhLLM, a groundbreaking large language model (LLM) that reportedly achieves a 0% hallucination rate, a significant advancement in addressing the common issue of factual inaccuracies in LLMs. Developed under the leadership of co-founder and CTO Amin Ahmad, nhLLM was fine-tuned from the Mistral-7B-instruct-v0.2 model using a unique methodology that includes synthetic question/answer pair generation and human feedback with a hallucination-specific reward model. The company plans to release nhLLM as open source under the Apache 2.0 license, and it aims to collaborate with leading LLM vendors to incorporate this training approach into future models, enhancing the factual accuracy of retrieval-augmented generation applications. The model's performance was tested using Vectara's HHEM and its successor, HHEM v2, and is expected to be a major development for non-hallucinating LLMs, promising reliable and truthful outputs.

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