Vectara Unveils Open-Source Hallucination Evaluation Model To Detect and Quantify Hallucinations in Top Large Language Models

SANTA CLARA, Calif., Nov. 06, 2023 (GLOBE NEWSWIRE) -- Large Language Model (LLM) builder Vectara, the trusted Generative AI (GenAI) platform, released its open-source Hallucination Evaluation Model. This is a first-of-its-kind initiative to proffer a commercially available and open-source model that addresses the accuracy and level of hallucination in LLMs, paired with a publicly available and regularly updated leaderboard, while inviting other model builders like OpenAI, Cohere, Google, and Anthropic to participate in defining an open and free industry-standard in support of self-governance and responsible AI.

By launching its Hallucination Evaluation Model, Vectara is increasing transparency and objectively quantifying hallucination risks in leading GenAI tools, a critical step toward removing barriers to enterprise adoption, stemming dangers like misinformation, and enacting effective regulation. The model is designed to quantify how much an LLM strays from facts while synthesizing a summary related to previously provided reference materials.

'In order to realize the true promise of Generative AI, we first have to tackle the challenge of hallucinations,” said Matei Zaharia, CTO and Co-Founder of Databricks. “The launch of the Hallucination Evaluation Model to the Hugging Face community encourages industry co-innovation and accountability through a powerful measurement tool accessible for all LLM builders.'

The Hallucination Evaluation Model launch includes releasing Vectara’s measurement code base as an open-source model on Hugging Face as well as a publicly accessible Leaderboard available from Vectara. The Leaderboard serves as a quality metric for LLM factual accuracy, similar to how credit ratings or FICO scores function for financial risk, giving businesses and developers insight into the realities of different GenAI tools before implementing them.

“For organizations to effectively implement Generative AI solutions including chatbots, they need a clear view of the risks and potential downsides,' said Simon Hughes, AI researcher and ML engineer at Vectara. 'For the first time, Vectara’s Hallucination Evaluation Model allows anyone to measure hallucinations produced by different LLMs. As a part of Vectara’s commitment to industry transparency, we’re releasing this model as open source, with a publicly accessible Leaderboard, so that anyone can contribute to this important conversation.”

Key Features of Vectara’s Hallucination Evaluation Model:

Objective Measurement: This model provides much-needed visibility into the LLMs' ability to synthesize data without introducing hallucinations. Many LLM vendors make claims about their capabilities to mitigate the impact of hallucinations, but until now, there have been no objectively verifiable methods for detecting and quantifying instances of irrelevant or incorrect data in model outputs. For the model, Vecatara built a machine-learning model, tuned for real world performance and using the latest advancements in hallucination research, to evaluate LLM summarizations without requiring objective scoring or influence.

Transparency Through Open Source: The Hallucination Evaluation Model is available for developers and industry stakeholders to integrate into their own pipelines through an Apache 2.0 License on Hugging Face. Developers can also use the open-source evaluation model to verify the accuracy of Vectara’s platform.

Dynamic Leaderboard: Vectara’s AI researchers and ML engineers (in collaboration with the open source community) will maintain and continually update the Leaderboard, showcasing the hallucination impact of different LLMs and offering a clear comparative perspective as new models emerge. The Leaderboard lists the accuracy and hallucination rates for each model tested in response to the same set of prompts.

The Leaderboard shows that OpenAI’s models have the strongest performance, followed by the Llama 2 models, Cohere and Anthropic. Google’s Palm models scored lower on the Leaderboard.

“Hallucination is one of the most serious issues to consider when deploying production LLMs. Having an open source benchmark model that can evaluate factual accuracy in a quantifiable way will allow developers to directly address the problems,” said Waleed Kadous, Chief Scientist at Anyscale. “Vectara’s new model sets the industry standard for measuring the extent to which LLMs hallucinate, and we’re excited to work with them as a launch partner.”

Vectara has led industry efforts to address hallucinations as a critical barrier to the safe, effective, and accurate use of GenAI. The model doesn’t solve hallucinations directly but rather enables more informed adoption and better decision-making by measuring the frequency and severity of this phenomena. Greater transparency into the quality of LLM-produced summarizations allows LLM users to evaluate GenAI solutions according to the risk profile of the intended use case.

GenAI adoption in highly regulated industries like legal, healthcare, finance, energy, and government will hinge upon vendors' ability to provide solutions with low to nearly zero risk of factual inaccuracies. Hallucinations have already been raised by stakeholders in these sectors as a serious issue. Until now, however, there has been no way to objectively compare the performance of available models outside of academic benchmarks, which don’t always translate to real-world settings.

Hallucinations also factor heavily in ongoing dialogue about GenAI regulation. Effective government oversight requires measurement tools universally recognized as transparent and objective. Vectara’s open-source model serves as an industry standard, providing the missing link to legislation that virtually all industry leaders agree is needed. With concerns around misinformation and other AI risks rising ahead of the U.S. presidential election and other geopolitical events, the Hallucination Evaluation Model and Leaderboard provide a tangible step toward data-driven and accessible oversight mechanisms.

About Vectara
Vectara is an end-to-end platform that empowers product builders to embed powerful Generative AI features into their applications with extraordinary results. Built on a solid hybrid-search core, Vectara delivers the shortest path to an answer or action through a safe, secure, and trusted entry point. Vectara is built for product managers and developers with an easily leveraged API that gives full access to the platform's powerful features. Vectara’s Retrieval Augmented (Grounded) Generation allows businesses to quickly, safely, and affordably integrate best-in-class conversational AI and question-answering into their application with zero-shot precision. Vectara never trains their models on customer data, allowing businesses to embed generative AI capabilities without the risk of data or privacy violations. To learn more about Vectara, visit www.vectara.com.

Media Contact
Carly Bourne
carly@bulleitgroup.com
423-443-0449



Vectara Unveils Open-Source Hallucination Evaluation Model To Detect and Quantify Hallucinations in Top Large Language Models

THỦ THUẬT HAY

Extension Fastr: Tăng tốc độ tải trang web trong Chrome không tốn quá nhiều RAM

Extension này sẽ tăng tốc độ tải các trang web thuộc cùng một tên miền như link đầu tiên truy cập. Ví dụ như: techrum.vn/forums Chỉ cần link mà bạn nhấn vào có cùng domain với link trang trước đó thì sẽ thấy tốc độ tải

Bạn nên lưu ngay 5 thủ thuật này trên vivo V23e để có những trải nghiệm tốt hơn

vivo V23e là sản phẩm mới nhất của nhà vivo có mặt tại thị trường Việt Nam. Không chỉ hoàn thiện về thiết kế, camera và hiệu năng, chiếc điện thoại này còn có giao diện FunTouch OS 12 mới nhất, mang đến những tính năng

Khắc phục tình trạng Laptop liên tục không nhận được Wifi

Laptop hiện đang là một trong những thiết bị điện tử được sử dụng nhiều nhất chỉ sau smartphone

Đăng ký tham gia chương trình thử nghiệm MIUI 10 Beta cho người dùng Xiaomi

Tại sự kiện của mình, nhà sản xuất Xiaomi đã giới thiệu MIUI 10 với nhiều thay đổi trong giao diện và AI. Cùng với đó, hãng cũng đã công bố danh sách những thiết bị chính thức được cập nhật lên giao diện này. Trong

Hướng dẫn xem mật khẩu đã lưu trên Chrome cho Android

Cuối cùng người dùng Android cũng được bổ sung tính năng xem mật khẩu đã lưu, vốn quá quen thuộc trên Chrome máy tính. Chỉ cần cập nhật lên Chrome 62 bạn sẽ xem được mọi mật khẩu đã lưu ngay trong ứng dụng, thay vì

ĐÁNH GIÁ NHANH

Đánh giá tai nghe Harman Kardon SOHO: tinh tế và giàu kinh nghiệm

Harman Kardon bán kèm một hộp đựng bằng nhựa cứng khá đẹp và chắc chắn. Ban đầu tôi cũng...

Đánh giá chi tiết laptop Dell Inspiron N3576-N3576E

Không phải bất cứ ai cũng có khả năng tậu cho mình một chiếc Ultrabook sang chảnh. Càng không nhiều người sẵn sàng bỏ ra hàng chục triệu đồng mua những chiếc laptop gaming hầm hố. Nếu bạn là một sinh viên với ngân sách

Đánh giá HP Neverstop Laser 1200w: Máy tốt nhất dành riêng cho giới văn phòng?

HP Neverstop Laser 1200w hoạt động rất trơn tru và mực có thể được nạp lại khá đơn giản. Do đó, vì nó ngăn chặn việc trộn bột mực vào môi trường mà nó được sử dụng, nó lành mạnh hơn các phương pháp đổ mực bên ngoài, và