Istruzione e Formazione
GyanAI Launches the World's First Explainable Language Model and Research Engine
McKinsey estimates that the number of AI capabilities used by organizations (including natural-language generation) has doubled between 2018 and 2022. As more and more organizations depend on AI systems for insights to make critical decisions that can have considerable implications, it is crucial for them to have access to trusted results and conclusions. Explainable AI is therefore growing in importance and, according to research, companies with at least 20% of their bottom-line returns attributed to the use of AI are more likely to follow advanced AI best practices that enable explainability, while those that build digital trust with consumers through measures such as making AI explainable can see a 10% or higher increase in revenue (McKinsey, 2022).
Large Language Models (LLMs) are neural networks trained on huge amounts of natural language content. LLMs are black boxes and purely a function of training data. They are designed to predict the next word in a sequence. They have well-documented limitations such as explainability, reasoning and factual errors, inability to understand full compositional context, susceptibility to influence from biased training data, and tractability among others.
In contrast, GyanAI is a knowledge engine based on a content-independent language model capable of deep understanding of textual discourse without relying on word patterns. GyanAI acquires its knowledge near real-time from the documents it processes and optionally, one or more Gyan Knowledge Stores. Since the Gyan language model is independent of content, it cannot be used to generate misinformation or be manipulated with biased training data.
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Gartner reports that there are over one billion knowledge workers globally and growing rapidly. Typically, they rely on search engines based on online content and/or internal documents. However, today's search engines are designed to provide only 'access' to information. Even in access, they can generate substantial false positives and negatives. GyanAI supports the full knowledge acquisition process as a user traverses from 'search' to 'knowledge'.
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Founded in 2017, GyanAI is the world's first explainable language model and research engine. Based on novel technology and founded by a seasoned, world-class team, its auto-curating, self-organizing research engine attempts to understand language the way humans do. GyanAI supports the full knowledge acquisition or research process to drive value by discovering meaningful and relevant knowledge.
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