
Sign up to save your podcasts
Or


In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the journey from "let the big LLM do everything" to splitting apart the workflow to be handled by multiple models.
Featuring:
Links:
Sponsors:
Upcoming Events:
By Practical AI LLC4.4
189189 ratings
In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the journey from "let the big LLM do everything" to splitting apart the workflow to be handled by multiple models.
Featuring:
Links:
Sponsors:
Upcoming Events:

288 Listeners

1,105 Listeners

166 Listeners

443 Listeners

306 Listeners

343 Listeners

313 Listeners

101 Listeners

150 Listeners

101 Listeners

228 Listeners

688 Listeners

112 Listeners

54 Listeners

34 Listeners