Imagine that you need to open $K$ new coffee shops in a city. You want each person to walk to […]
Understanding K-Means Clustering: Intuition, Math, and Practical Implementation Read More »
Guardrails are the technical and operational controls that reduce the chance an LLM system causes harm, violates policy, leaks sensitive
Guardrails for LLMs: A Practical, Technical Guide Read More »
Perplexity answers one narrow question: When the true next token is revealed, how confused/uncertain is the model? It is a
Perplexity (PPL): what it measures, how to compute it, and when it misleads Read More »
Adjusted R-squared is one of those metrics that shows up early in regression, but it often feels like a small
Adjusted R-Squared: Why, When, and How to Use It Read More »
When you train a regression model, you usually want to answer a simple question: How well does this model explain
R-Squared (\(R^2\)) Explained: How To Interpret The Goodness Of Fit In Regression Models Read More »
Imagine you’re teaching a robot to write poetry. You give it a prompt, and it generates a poem. But how
How to Evaluate Text Generation: BLEU and ROUGE Explained with Examples Read More »
Clustering is an unsupervised ML that aims to categorize a set of objects into groups based on similarity. The core
ML Clustering: A Simple Guide Read More »
Anomaly detection, also known as outlier detection, aims at identifying instances that deviate significantly from the norm within a dataset.
Anomaly Detection: A Comprehensive Overview Read More »
Time series forecasting is a statistical technique used to predict future values based on previously observed values, specifically in a
Time Series Forecasting: An Overview of Basic Concepts and Mechanisms Read More »
Large Concept Models (LCMs) [paper] represent a significant evolution in NLP. Instead of focusing on individual words or subword tokens,
Large Concept Models (LCM): A Paradigm Shift in AI Read More »
Measuring the performance of a Large Language Model (LLM) involves evaluating various aspects of its functionality, ranging from linguistic capabilities
How to Measure the Performance of LLM? Read More »
Evaluating the effectiveness of a prompt is crucial to harnessing the full potential of Large Language Models (LLMs). An effective
Quantifying Prompt Quality: Evaluating The Effectiveness Of A Prompt Read More »
