A tutorial published on embedding drift detection outlines three techniques for monitoring production large language model pipelines: model-based detection via a binary domain classifier, centroid dis…
A tutorial published on Scikit-LLM shows developers how to build a multilingual text classification pipeline using multilingual LLM embeddings and scikit-learn without training a separate model per la…
KDnuggets published a cheat sheet on Scikit-LLM, a library that wraps language models in the scikit-learn estimator API so they drop natively into a Pipeline or cross-validation loop. The cheat sheet …
A tutorial demonstrates treating prompt templates as tunable hyperparameters by wrapping a language model in a scikit-learn-compatible classifier and running GridSearchCV over candidate prompts for ze…
A tutorial demonstrates how to build, track, compare, and register scikit-learn pipelines that integrate large language models using Scikit-LLM and MLflow, with code for logging multiple pipeline vers…
Scikit-LLM, a Python library for integrating large language models into scikit-learn workflows, demonstrates how to interpret text classification by generating embeddings from movie reviews using the …