Home » Large Language Models - The Hard Part
Product Image

Large Language Models - The Hard Part

Tharsis T.P. Souza | Jonathan K. Regenstein Jr.
€76.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Jonathan K. Regenstein Jr.
A01=Tharsis T.P. Souza
Author_Jonathan K. Regenstein Jr.
Author_Tharsis T.P. Souza
Category=UYQL
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_new_release
eq_nobargain
eq_non-fiction
LLM Open Source ChatGPT openai gemini grok mixtral mistral claude copilot llama ollama litelm gpt RAG vllm langchain llamaindex huggingface github

Product details

  • ISBN 9798341622524
  • Dimensions: 178 x 232mm
  • Publication Date: 22 May 2026
  • Publisher: O'Reilly Media
  • Publication City/Country: US
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns
Description

Large language models (LLMs) have transformed natural language processing, but deploying them in applications introduces numerous technical challenges. Large Language Models: The Hard Partsoffers a clear, practical examination of the limitations developers and ML engineers face when building LLM-powered applications. With a focus on implementation pitfalls (not just capabilities) this book provides actionable strategies supported by reproducible Python code and open source tools.

Readers will learn how to navigate key obstacles in system integration, input management, testing, safety, and cost control. Designed for engineers and technical product leads, this guide emphasizes practical solutions to real-world problems and promotes a grounded understanding of LLM constraints and trade-offs.

  • Design testing strategies for nondeterministic systems
  • Manage input formatting and long-context retrieval
  • Address output inconsistency and structural unreliability
  • Implement safety and content moderation frameworks
  • Explore alignment challenges and mitigation techniques
  • Leverage open source models and optimize costs
About Jonathan K. Regenstein Jr. | Tharsis T.P. Souza
Dr. Tharsis T. P. Souza is a computer scientist and product leader specializing in AI-driven products. He has held leadership roles at some of Wall Street's largest hedge funds and in early-stage Silicon Valley technology startups. He is the creator of podcastfy.ai and a former lecturer in the Master of Science in Applied Analytics program at Columbia University. He holds a Ph.D. in computer science from University College London, as well as an M.Phil. and M.Sc. in computer science and a B.Sc. in computer engineering. Jonathan K. Regenstein, Jr., has spent his career working at the intersection of data, machine learning, technology, and asset management. He is a research affiliate at Georgia Tech's Financial Services Innovation Lab and an advisor to early-stage AI companies. He holds a B.A. from Harvard University and a J.D. from NYU School of Law. He lives in Atlanta, Georgia, with his wife, three daughters, and three dogs.

More from this author