Release notes: BETA .2!
To prepare for the week, and thanks to learning our new AI stack, we've incorporated a handful of automation changes that should streamline content creation. I don't expect a lot of major changes to the model during the week, however the feedback loop should do its job.
There have been many questions already. Some can't be answered for various reasons, but plenty of them can. LinkedIn is a good place, mlb@resultscast.ai is a good place, and answers can be found in those places or this place. See the mlb page as well for specifics to the MLB podcast.
As mentioned yesterday, there is a backlog of tasks due in all areas already. While these are not being publicized, they may become public as part of future release notes. Still looking forward to it!
Release notes: BETA .1!
We did it! If you are reading this, the first episode of ResultsCast! is upon us.
During the beta, which is set to last several weeks, we will communicate product updates via release notes.
Our current product consists of three core areas:
Data engineering -- we license a statistics service from which Python etc is used to bring that data in-house
Prompt engineering -- we license large language models in order to engineer prompts that will generate great content from the data provided
Audio engineering -- we license AI voiceovers and other services to compile the end result
Our goal is full automation fueled by human ambassadors and a community. For now, we've got our daily episodes down to a science for a 30-minute turnaround! Soon, we hope to be able to publish an episode faster than we can listen to it.
There is a backlog of tasks due in all areas already, including areas not mentioned above. While these are not being publicized, they may become public as part of future release notes. Looking forward to it!