Categories: AI/ML Research

LLM Evaluation Frameworks Compared: How to Actually Measure What Your Model Does

In this article, you will learn how to evaluate LLM applications using the three dominant open-source frameworks — RAGAS, DeepEval, and Promptfoo — and why…

LLM Orchestration Frameworks Compared: LangChain vs. LlamaIndex vs. Raw API Calls

The default assumption in most LLM developer communities is that you start with raw API calls and graduate to a framework as your project grows.

July 10, 2026

In "AI/ML Research"

Your First Local LLM API Project in Python Step-By-Step

Interested in leveraging a large language model (LLM) API locally on your machine using Python and not-too-overwhelming tools frameworks? In this step-by-step article, you will set up a local API where you'll be able to send prompts to an LLM downloaded on your machine and obtain responses back.

July 2, 2025

In "AI/ML Research"

LLM Embeddings vs TF-IDF vs Bag-of-Words: Which Works Better in Scikit-learn?

Machine learning models built with frameworks like scikit-learn can accommodate unstructured data like text, as long as this raw text is converted into a numerical representation that is understandable by algorithms, models, and machines in a broader sense.

February 18, 2026

In "AI/ML Research"

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