Summarizing and Querying Data from Excel Spreadsheets Using eparse and a Large Language Model
Editor's Note: This post was written by Chris Pappalardo, a Senior Director at Alvarez & Marsal, a leading global professional services firm. The standard processes for building with LLM work well for documents that contain mostly text, but do not work as well for documents that contain tabular data (like spreadsheets). We wrote about our latest thinking on Q&A over csvs on the blog a couple weeks ago, and we loved reading Chris's exploration of working with csvs and LangChain using agents, chai
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The goal of the fantasypros R package is to provide easy and reproducable access to data
provided on the fantasypros website. The intital focus is on
NFL and fantasy football data, but other sports are planned to be added
Learn how to implement strong authentication and SSO in Shiny apps with Descope. This guide integrates both OIDC and SAML with Posit Connect for seamless login.
In order to facilitate parsing of http requests and creating appropriate responses this package provides two classes to handle a lot of the housekeeping involved in working with http exchanges. The infrastructure builds upon the rook specification and is thus well suited to be combined with httpuv based web servers.
The rcrd class extends vctr. A rcrd is composed of 1 or more fields,
which must be vectors of the same length. Is designed specifically for
classes that can naturally be decomposed into multiple vectors of the same
length, like POSIXlt, but where the organisation should be considered
an implementation detail invisible to the user (unlike a data.frame).
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