Categories: AI/ML Research

Understanding the DistilBart Model and ROUGE Metric

This post is in two parts; they are: • Understanding the Encoder-Decoder Architecture • Evaluating the Result of Summarization using ROUGE DistilBart is a “distilled” version of the BART model, a powerful sequence-to-sequence model for natural language generation, translation, and comprehension.
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14 hours ago

7 Concepts Behind Large Language Models Explained in 7 Minutes

If you've been using large language models like GPT-4 or Claude, you've probably wondered how…

14 hours ago

Interpolation in Positional Encodings and Using YaRN for Larger Context Window

This post is divided into three parts; they are: • Interpolation and Extrapolation in Sinusoidal…

14 hours ago

How to Combine Scikit-learn, CatBoost, and SHAP for Explainable Tree Models

Machine learning workflows often involve a delicate balance: you want models that perform exceptionally well,…

14 hours ago

Gemini 2.5: Updates to our family of thinking models

Explore the latest Gemini 2.5 model updates with enhanced performance and accuracy: Gemini 2.5 Pro…

14 hours ago

How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS

This post is co-written with Vicky Andonova and Jonathan Karon from Anomalo. Generative AI has…

14 hours ago