Skip to main content
  • Hoopla logo
    Powered by Hoopla
  • Browse
  • My Hoopla
  • Log In
Books, videos, and music - all free from your public library!
LoginSign Up

Footer

Hoopla logo, Go to homepage
  • For Patrons
  • For Libraries (opens in new window)
  • For Vendors (opens in new window)
  • Facebook (opens in new window)
  • X (opens in new window)
  • Instagram (opens in new window)
  • YouTube (opens in new window)
  • TikTok (opens in new window)
  • LinkedIn (opens in new window)

Our Company

  • Our Story
  • Get Hoopla for your Library (opens in new window)
  • Get your content on hoopla (opens in new window)
  • Join our team (opens in new window)
  • Accessibility Statement

Our Content

  • Audiobooks
  • Ebooks
  • Movies
  • Television
  • Comics
  • BingePasses
  • Music
  • The Loop Blog

Help

  • Help Center
  • Submit Feedback
  • Facebook (opens in new window)
  • X (opens in new window)
  • Instagram (opens in new window)
  • YouTube (opens in new window)
  • TikTok (opens in new window)
  • LinkedIn (opens in new window)
  • Download on the App Store (opens in new window)
  • Get it on Google Play (opens in new window)
  • Available at Amazon Appstore (opens in new window)
© 2026 Midwest Tape, LLC. All rights reserved. Privacy Policy | Terms of Use
  1. Navigate Home
  2. Ebooks
  3. Large Language Models

EBOOK

Large Language Models

Stephan RaaijmakersSeries: MIT Press Essential Knowledge
(0)
sign up
Pages
304
Year
2025
Language
English
Publisher
MIT Press

About

An in-depth history of Large Language Models-and what their ubiquity, disruption, and creativity mean from a wider sociopolitical perspective.

In November 2022, ChatGPT swept the globe with a mixed frenzy of excitement and anxiety. Was this a step closer to reaching singularity or just another marvel in machine learning? Author Stephan Raaijmakers provides a comprehensive introduction to Large Language Models (LLMs), describing what exactly they are capable of from a technical and creative standpoint. This concise volume covers everything from the architecture of LLM neural networks to the limitations of LLMs to how our governments can regulate this technology. In explaining how exactly LLMs learn from data sets, Raaijmakers defangs the more sensational arguments we may be familiar with. Instead, he offers a more grounded approach to how this groundbreaking-and increasingly ubiquitous-form of artificial intelligence will shape our society for years to come. Stephan Raaijmakers is Senior Scientist at TNO and Professor of Communicative AI at Leiden University (LUCL).

Related Subjects

  • Computer Science
  • Computers
  • Adult Nonfiction
  • Social Aspects
  • Technology & Engineering
  • Natural Language Processing
  • Artificial Intelligence

Extended Details

  • SeriesMIT Press Essential Knowledge

    Artists

    Stephan RaaijmakersAuthor