- provides list of 55 categorical encoders, explains how to use the code as a supplement to Category Encoders Python module.
- categorizes encoders into families, explains how to reuse code from the benchmark to include your encoder or dataset in comparison
- categorizes encoders into families, explains how to reuse code from the benchmark to include your encoder or dataset in comparison
Compare the performance of different LLM that can be deployed locally on consumer hardware. The expected good response and scores are generated by GPT-4.
Intel Core i7 1280P "Alder Lake P" Linux Laptop Performance
