Using Amazon Bedrock to automate YouTube metadata generation #shorts #ai #aws #podcast

So the idea was, okay, we have already the step function. We have already a step that gives us some data we can use as an input. So what we need to do next is basically extending that step function, taking that input and basically do more stuff with it. So once we have the transcript, what we can do as the new steps that we introduce in this automation is basically we can create a prompt that will instruct the large language model to generate few different things. One is the episode summary. Then the YouTube chapters with precise timing and topic and a set of tags for the episode.

What the full podcast episode about Amazon Bedrock and how we use it to automatically generate titles, descriptions, chapters and video tags at https://www.youtube.com/watch?v=u945tsm4p7M ... https://www.youtube.com/watch?v=GZcUVT0s49M