Generative AI has become increasingly popular in various industries, offering opportunities for rapid evaluation, testing, and deployment. However, one persistent concern is the problem of AI hallucinations, where AI models produce inaccurate or irrelevant information based on training data. This poses a significant risk, particularly in industries such as healthcare or heavy industry, where accurate data is crucial. Addressing this issue, Gleen AI, a promising startup, has emerged with a groundbreaking solution. With its anti-hallucination data layer software, Gleen AI aims to provide enterprises with the tools to configure AI models for reliable customer support. Backed by a $4.9 million funding round and support from prominent venture firms and angel investors, Gleen AI is set to revolutionize the way businesses leverage generative AI while ensuring accuracy and reliability.
Generative AI tools, such as ChatGPT, Claude 2, LLaMA 2, Bard, and others, rely on large language models (LLMs) to respond to user prompts and queries. However, these models often produce inaccurate or irrelevant information because they are trained on data associated with user-entered words and ideas. For example, ChatGPT’s response to the question “when has the Earth eclipsed Mars?” provides a convincing explanation that is entirely inaccurate—the Earth cannot eclipse Mars. While these inaccurate responses might seem intriguing or amusing, they pose significant risks for businesses relying on AI-generated data for critical operations.
Gleen AI sets itself apart by addressing the issue of AI hallucinations through its proprietary AI and machine learning (ML) layer. Unlike traditional approaches that are highly dependent on LLMs, Gleen AI’s data layer operates independently and enhances the quality of AI model responses. The key features of Gleen’s data layer include:
Gleen AI’s data layer aggregates structured and unstructured knowledge from various sources within an enterprise, such as help documentation, FAQs, product specs, manuals, wikis, forums, and past chat logs. By curating and extracting key facts while eliminating noise and redundancy, Gleen AI filters information to “glean the signal from the noise.” This careful selection process ensures that only high-quality, relevant data is fed into the AI models.
To understand the relationships between entities, Gleen AI’s data layer constructs a knowledge graph. This graph serves as a valuable resource for retrieving the most relevant facts to address user queries effectively. By leveraging the power of a knowledge graph, Gleen AI enables AI models to provide accurate and reliable responses based on comprehensive and verified information.
The AI layer acts as a checkpoint, cross-checking the response generated by the AI models against the curated facts. This crucial step ensures that the AI model’s output aligns with the verified information and eliminates the risk of providing false or fabricated information. When the evidence is insufficient, the chatbot will transparently communicate the need for more information from the user, avoiding potentially misleading responses.
Gleen AI’s software offers users the ability to create customer-support chatbots quickly. Moreover, these chatbots can be adjusted and customized based on specific use cases or desired personality traits. Gleen AI’s solution is AI model-agnostic, capable of supporting various leading models with API integrations. It supports OpenAI’s popular GPT-3.5 Turbo model and also offers the option of using proprietary LLMs, ensuring data security for customers with heightened privacy concerns.
Gleen AI has already made a considerable impact on industries such as quantum computing and crypto, where accuracy is of utmost importance. Customers, including Matter Labs, have lauded Gleen AI for its seamless implementation process, requiring minimal effort on their part. By providing a few links to their company’s data, businesses can leverage Gleen AI’s technology to create custom chatbots that seamlessly integrate with existing platforms such as Slack or serve as dedicated support agents for end-users.
As more companies explore the potential of LLMs while mitigating their downsides, Gleen AI’s accuracy layer emerges as a promising solution. Gleen AI envisions a future where every company has its AI assistant powered by a proprietary knowledge graph. This vector database will become an essential asset, enabling personalized automation across the entire customer lifecycle. With Gleen AI’s technology, businesses can harness the power of generative AI without compromising on accuracy and reliability.
Gleen AI has emerged as a trailblazing startup, focused on addressing the problem of AI hallucinations that plague generative AI. By developing an anti-hallucination data layer, Gleen AI provides businesses with the tools to configure AI models for reliable customer support. With its proprietary approach, Gleen AI aggregates and curates knowledge, constructs a knowledge graph, performs quality control checks, and ensures compatibility with leading AI models. Businesses across industries can now leverage generative AI with confidence, knowing that accuracy and reliability are at the forefront of their operations. As Gleen AI continues to innovate and empower companies worldwide, the vision of AI-powered, personalized automation becomes increasingly attainable.
Leave a Reply