weekly-digest

You can automate compiling a weekly ML/AI research digest by using a Skill that selects top papers based on specified criteria, defines a theme, and updates the daily feed automatically.

Automated content compilation works by accessing HuggingFace, ArXiv, and PaperTrace internal databases to retrieve recent ML/AI research, select top papers, and aggregate them into a unified weekly digest.

Yes, the weekly digest compilation is customizable, allowing you to select specific sources and define specific criteria for filtering and selecting the top ML/AI papers for your feed.

Yes, compiling the ML/AI weekly digest requires access to PaperTrace's internal databases, alongside HuggingFace and ArXiv, to retrieve research papers and update the daily feed.

The best way to distribute a weekly ML/AI research summary is to run an automated compilation Skill on Fridays or Sundays, which selects top papers and updates the daily feed for the community.

You can define a theme for a weekly machine learning research digest during the automated compilation process, where the Skill selects top papers from the week and groups them under a defined topic.