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The quest for understanding at function can sense like looking for a needle in a haystack. But what if the haystack itself could expose exactly where the needle is?
That is the guarantee of large language designs, or LLMs, the issue of this week’s episode of the NVIDIA AI Podcast showcasing DeeDee Das and Eddie Zhou, founding engineers at Silicon Valley-based mostly startup Glean, in discussion with our host, Noah Kravitz.
With LLMs, the haystack can come to be a source of intelligence, helping guidebook awareness workers on what they will need to know.
Glean is centered on giving better equipment for company lookup by indexing every little thing personnel have obtain to in the corporation, together with Slack, Confluence, GSuite and considerably much more. The company lifted a collection C funding round very last 12 months, valuing the corporation at $1 billion.
Substantial language designs can deliver a in depth view of the business and its information, which helps make finding the information needed to get do the job finished less complicated.
In the podcast, Das and Zhou discuss the problems and options of bringing LLMs into the company, and how this engineering can assist men and women commit much less time looking and much more time doing the job.
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