Categories: AI/ML Research

Treating Prompt Templates as Hyperparameters in Scikit-LLM GridSearchCV

In this article, you will learn how to treat prompt templates as tunable hyperparameters for a language model, using scikit-learn’s grid search to find the…

How to Perform Scikit-learn Hyperparameter Optimization with Optuna

Optuna is a machine learning framework specifically designed for automating hyperparameter optimization , that is, finding an externally fixed setting of machine learning model hyperparameters that optimizes the model’s performance.

April 10, 2025

In "AI/ML Research"

Beyond GridSearchCV: Advanced Hyperparameter Tuning Strategies for Scikit-learn Models

Ever felt like trying to find a needle in a haystack? That’s part of the process of building and optimizing machine learning models, particularly complex ones like ensembles and neural networks, where several hyperparameters need to be manually set by us before training them.

June 21, 2025

In "AI/ML Research"

Scikit-Ollama for Scikit-LLM/Ollama Integration

In this article, you will learn how scikit-ollama bridges the scikit-learn interface with locally running Ollama models to perform zero-shot text classification; no cloud API...

July 16, 2026

In "AI/ML Research"

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