Towards Data Science

The Budget Split That Explains Itself

How to diversify a budget without losing the shadow prices that explain the result The post The Budget Split That Explains Itself appeared first on Towards Data Science .

Towards Data Science
2d ago

Your AI Bill Is a Toll Booth. Stop Paying Twice.

The article titled "Your AI Bill Is a Toll Booth. Stop Paying Twice." discusses how users are unexpectedly paying more for AI services than anticipated, likening the experience to a toll booth where one pays twice. It highlights the unseen costs that can arise when using AI tools and urges readers to be vigilant about their expenses. The piece was first published on Towards Data Science.

By Gursimar Singh
Towards Data Science
Aug 20

Three Kinds of RAG Corpus, and What It Costs to Build for the Wrong One

The article explains that enterprise document intelligence can be categorized into three distinct corpus types, each requiring a specific architecture. It outlines how to determine the shape of a document collection through three key questions. The piece also discusses the costs associated with building a system for the incorrect corpus type.

By angela shi
Towards Data Science
Aug 26

How Does a RAG Reranker Really Work?

The article "How Does a RAG Reranker Really Work?" explores the inner workings of Retrieval-Augmented Generation (RAG) rerankers, focusing on how data scientists explain the model’s operations behind the scenes. It discusses the impact of these insights on architecture decisions within enterprise document intelligence, specifically in the context of Enterprise Document Intelligence Vol.1 #2D. The piece highlights the importance of transparent model explanations for effective enterprise RAG implementation.

By Kezhan Shi
Towards Data Science
3d ago

How Many Stories Can Your Data Tell?

The article explores how different data representations can alter our interpretation of the same dataset, highlighting that the way data is visualized or structured can lead to varying narratives. It examines the implications of these storytelling choices for data analysis and communication. The piece emphasizes the importance of thoughtful data presentation in shaping conclusions.

By Sara A. Metwalli
Towards Data Science
Sep 1

What We Miss About Missing Values

The article titled "What We Miss About Missing Values" explores the often overlooked assumptions embedded in the data we observe, particularly focusing on how missing values can influence analysis and interpretation. It delves into the hidden biases and methodological implications that arise when data is incomplete, urging readers to consider these factors when working with real-world datasets.

By David Conneely
Towards Data Science
Sep 8

How to Maximize GPT-6 Astra

The article titled "How to Maximize GPT-6 Astra" shares the author’s first impressions of OpenAI’s new frontier model. It discusses initial experiences and observations with GPT-6 Astra, offering insights into its capabilities and potential applications. The post was originally published on Towards Data Science.

By Eivind Kjosbakken