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A software engineer, a data scientist, and a product manager walk into a generative AI project… Using technology that didn’t exist a year ago, they identify a customer pain point they might be able to solve, build on teammates’ experience with building AI features, and test how to feed inputs and constrain outputs into something useful. Hear the full conversation here.
https://youtu.be/2mEVY6rmX3M
Read the article referred to in the episode here: https://thenewstack.io/llms-and-incident-response-it-starts-with-summarization/
By PagerDutyA software engineer, a data scientist, and a product manager walk into a generative AI project… Using technology that didn’t exist a year ago, they identify a customer pain point they might be able to solve, build on teammates’ experience with building AI features, and test how to feed inputs and constrain outputs into something useful. Hear the full conversation here.
https://youtu.be/2mEVY6rmX3M
Read the article referred to in the episode here: https://thenewstack.io/llms-and-incident-response-it-starts-with-summarization/