/plushcap/analysis/assemblyai/automatic-summarization-llms-python

Automatic summarization with LLMs in Python

What's this blog post about?

The meeting begins with a proposal to break up the engineering key review meeting into four departmental key reviews to allow for more in-depth discussion. A two-month rotation is suggested so as not to add too many new meetings. The proposal is supported. R&D Merge Request Rates There is discussion around the R&D overall and wider merge request rates. It is clarified that the wider rate includes community contributions while the overall rate includes internal and external requests. There is agreement to track the percentage of total requests from the community over time instead. Postgres Replication Issue There is an update on work to address lag in Postgres replication for the data engineering team. Actions include dedicating a host for the data team, database tuning, and improving demand on the database. More work is needed to determine the best solutions. An update will be provided at the next infrastructure key review. Defect Tracking and SLOs There is an update on work to track defects against service level objectives (SLOs). Iterations are being made to measure the average age of open bugs and the percentage of open bugs within SLO. More discussion is needed on the best approach. Key Metrics The team discusses key metrics. The decline in NPS has slowed, though more data is needed to determine if it is an actual trend. The narrow merge request rate is below target, though it is higher than the same time last year. The rate is expected to rebound in March. The target rate has been adjusted to 10 going forward to focus on other metrics like quality and security. Closing The meeting ends with a request for any other discussion. Hearing none, the meeting adjourns.

Company
AssemblyAI

Date published
Aug. 15, 2023

Author(s)
Ryan O'Connor

Word count
1548

Hacker News points
None found.

Language
English


By Matt Makai. 2021-2024.