The pursuit of knowledge at work can feel like looking for a needle in a haystack. But what if the haystack itself discovered where the needle was?
This is a promise large language patternsor LLMs, the subject of this week’s episode The NVIDIA AI Podcast featuring Didi Das and Eddie Zhou, founding engineers of Silicon Valley startup Glean, in conversation with our host Noah Kravitz.
With an LLM, the haystack can become a source of intelligence, helping to guide IT workers in what they need to know.
Glean is focused on providing the best tools for enterprise search by indexing everything that employees in the company have access to, including Slack, Confluence, GSuite, and more. The company raised a Series C round of funding last year, valuing the company at $1 billion.
Large language models can provide a comprehensive view of the enterprise and its data, making it easier to find the information needed to get the job done.
In the podcast, Das and Zhou discuss the challenges and opportunities of bringing LLMs to the enterprise, and how this technology can help people spend less time searching and more time working.
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