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Relevance-bench

This is a follow up to my post on using Jev for pseudo-relevance judgments on TREC DL 2023.

This experiment felt more useful as a little benchmark that I can extend.

Check out the code for this post here. For the data used, see my dataset on Hugging Face here.

Pseudo-relevances with Jev

The world is abuzz with excitement at the new "system one" models being pumped out right now. In this post, I take a look at how good these models are at generating relevancy scores on the TREC {0, 1, 2, 3} scale.

The code used to create the results in this blog can be found here.

Exploring Kendall's \(\tau\)

For one reason or another, I've been working with Kendall's \(\tau\) lately. This post explores a little bit of my excitement with the statistic and some possible extensions. Disclaimer: I am not a statistician.

The code used to created the plots in this blog can be found here.

Rogue-Bench

After a couple months of work, she's finally done. Rogue-Bench is my contribution to the already overflowing list of LLM benchmarks.

This is an extension of my previous work here. So check that out first for some context.

Playing Rogue with LLMs

Ever wonder if LLMs can play Rogue? I sure did!

It seems like a match made in heaven. Fully text based game meets text enjoying model. In this post, I detail a little bit about putting together a little package to make this possible.

Don't get your hope up though. I don't do any long running benchmarks.

Check out the code for this post here.

Ibis compatibility checker

I'm a fan of the Ibis framework. To me, dataFrame APIs feel great and leaving pure Python to write a SQL query in a nasty triple-quoted string does not.

In this post, I motivate and give a proof of concept for an Ibis "compatibility checker" where, given an Ibis expression, the checker will tell you which backends it can be run on.

This post isn't meant to sell Ibis, just motivate why I think it could be useful for a specific set of people.

Code for this post can be found here.