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congrats Philip and the rest of the team!


nice to see a tutorial that recognizes the case where the underlying data can change and the embedding needs to be updated.

Any plans to write a tutorial for fine-tuning local models?


Not at the moment but let me bring that to the team so we can brainstorm what it could look like.


Retain.ai | Onsite | San Francisco | Founding Team Engineer - Generalist or Full Stack | $80k - $120k + substantial equity

At Retain we help companies understand customer interactions across teams, tools and applications. Our solution integrates with the day-to-day tools companies use (e.g. ticketing, calendar, collaboration tools, CRM apps) to obtain customer interaction data. Retain enables data driven decisions in everything from pricing (by increasing revenue on expensive customers) to product roadmap (by focusing on features that have the largest impact).

We’re venture-funded and this is our first engineering hire outside of the founding team. This is a true generalist role, so the expectations is someone who is willing to grow and adapt with the role. Substantial responsibility and equity upside. Web and data experience are likely to be biggest assets — we’re on AWS and Rails with the usual accoutrement but ultimately tech agnostic.

Requirements * You are nice, smart, and action oriented * At least 2 years experience building web applications with modern technologies with solid understanding of databases * Some experience with big data frameworks, analytics, ETL, or integrations is a strong asset

https://angel.co/retain-ai/jobs/272082-full-stack-engineer-f... or Ping me at vlad@retain.ai if interested.


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