This post expands on a few of the papers I posted in this Twitter thread. I highlight a few in the deep dive at the top, then link to a few other papers of note later on. Subscribe to Paired Ends to get summaries like this in your e-mail as soon as I write them.

This is Paired Ends — your bioinformatics, computational biology, and data science updates from the field.

Crossref, with the help of CWTS Leiden, has just released an exciting update to their participation reports, adding metrics for both affiliations in general and ROR IDs in particular. Now Crossref members can easily see how well they’re doing in providing open affiliation metadata. Read the full text of the Crossref announcement below.

Fine-Tuning ChatGPT: Exploring OpenAI’s Playground Features

Enhancing API Interactions with AI

Discover How GPT-4o Mini Balances Power and Efficiency for Everyday AI Tasks

Exploring RAG Pipelines for Enhanced NLP Applications

Iterators in Go are a neat way to write “lazy loops”, where we never generate more results than we actually use. Let’s see what that would look like in Go programs, and what new facilities it gives us in the standard library.

We’ve just released an update to our participation report, which provides a view for our members into how they are each working towards best practices in open metadata.

Integrating an AI model with Chainlit in your application

Here, Julien Colomb presents in a very short post the idea of having and attribution reference and a provenance reference for an hardware/software/dataset object. We present 2 objectives of citing data, one workaround for having it all, what is would mean for hardware paper and end with a question about the validity of this ideas. He is hoping that it may open a discussion on this topic.