It’s no secret that AI, specifically Large Language Models (LLMs), can occasionally produce inaccurate and even potentially harmful outputs. Dubbed as “AI hallucinations”, these anomalies have been a major barrier for enterprises contemplating LLM integration as a consequence of the inherent risks of monetary, reputational, and even legal consequences.
Addressing this pivotal concern, Vianai Systems, a frontrunner in enterprise Human-Centered AI, unveiled its latest offering: the veryLLM toolkit. This open-source toolkit is geared toward ensuring more reliable, transparent, and transformative AI systems for business use.
The Challenge of AI Hallucinations
Such hallucinations, which see LLMs generating false or offensive content, have been a persistent problem. Many firms, fearing potential repercussions, have shied away from incorporating LLMs into their central enterprise systems. Nonetheless, with the introduction of veryLLM, under the Apache 2.0 open-source license, Vianai hopes to construct trust and promote AI adoption by providing an answer to those issues.
Unpacking the veryLLM Toolkit
At its core, the veryLLM toolkit allows for a deeper comprehension of every LLM-generated sentence. It achieves this through various functions that categorize statements based on the context pools LLMs are trained on, resembling Wikipedia, Common Crawl, and Books3. With the inaugural release of veryLLM heavily counting on a number of Wikipedia articles, this method ensures a solid grounding for the toolkit’s verification procedure.
The toolkit is designed to be adaptive, modular, and compatible with all LLMs, facilitating its use in any application that utilizes LLMs. This can enhance transparency in AI-generated responses and support each current and upcoming language models.
Dr. Vishal Sikka, Founder and CEO of Vianai Systems and in addition an advisor to Stanford University’s Center for Human-Centered Artificial Intelligence, emphasized the gravity of the AI hallucination issue. He said, “AI hallucinations pose serious risks for enterprises, holding back their adoption of AI. As a student of AI for a few years, additionally it is just well-known that we cannot allow these powerful systems to be opaque in regards to the basis of their outputs, and we’d like to urgently solve this. Our veryLLM library is a small first step to bring transparency and confidence to the outputs of any LLM – transparency that any developer, data scientist or LLM provider can use of their AI applications. We’re excited to bring these capabilities, and lots of other anti-hallucination techniques, to enterprises worldwide, and I think because of this we’re seeing unprecedented adoption of our solutions.”
Incorporating veryLLM in hila™ Enterprise
hila™ Enterprise, one other stellar product from Vianai, zeroes in on the accurate and transparent deployment of considerable language enterprise solutions across sectors like finance, contracts, and legal. This platform integrates the veryLLM code, combined with other advanced AI techniques, to attenuate AI-associated risks, allowing businesses to completely harness the transformational power of reliable AI systems.
A Closer Have a look at Vianai Systems
Vianai Systems stands tall as a trailblazer within the realm of Human-Centered AI. The firm boasts a clientele comprising a few of the globe’s most esteemed businesses. Their team’s unparalleled prowess in crafting enterprise platforms and progressive applications sets them apart. Also they are fortunate to have the backing of a few of the most visionary investors worldwide.