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The lessons I wanted from this article weren't in there: Did all of that expenditure actually help their product in a measurable way? Did customers use and a
by dougb5 3y ago
The lessons I wanted from this article weren't in there: Did all of that expenditure actually help their product in a measurable way? Did customers use and appreciate the new features based on LLM summarization compared to whatever they were using before? I presume it's a net win or they wouldn't continue to use it, but more specifics around the application would be helpful.
- lordofmoria 3y agoHey, OP here! The answer is a bit boring: the expenditure definitely has helped customers - in that, they're using AI generated responses in all their work flows all the time in the app, and barely notice it. See what I did there? :) I'm mostly serious though - one weird thing about our app is that you might not even know we're using AI, unless we literally tell you in the app. And I think that's where we're at with AI and LLMs these days, at least for our use case. You might find this other post I just put up to have more details too, related to how/where I see the primary value: https://kenkantzer.com/gpt-is-the-heroku-of-ai/ https://kenkantzer.com/gpt-is-the-heroku-of-ai/
- kristianp 3y agoCan you provide some more detail about the application? I'm not familiar with how llms are used in business, except as customer support bots returning documentation.