LLMs in Production, Brousseau C., Sharp M., 2025

LLMs in Production, Brousseau C., Sharp M., 2025.
     
   LLMs in Production is not your typical Data Science book. In fact, you won’t find many books like this at all in the data space mainly because creating a successful data product often requires a large team—data scientists to build models, data engineers to build pipelines, MLOps engineers to build platforms, software engineers to build applications, product managers to go to endless meetings, and, of course, for each of these, managers to take the credit for it all despite their only contribution being to ask questions, oftentimes the same questions repeated, just trying to understand what’s going on.




Large language models accelerating communication.
Every job has some level of communication. Often, this communication is shallow, bureaucratic, or political. We’ve often warned students and mentees that every job has its own paperwork. Something that used to be a passion can easily be killed by the day-to-day tedium and menial work that comes with it when it becomes a job. In fact, when people talk about their professions, they often talk them up, trying to improve their social standing, so you’ll rarely get the full truth. You won’t hear about the boring parts, and the day-to-day grind is conveniently forgotten.

However, envision a world where we reduce the burden of monotonous work. A place where police officers no longer have to waste hours of each day filling out reports and could instead devote that time to community outreach programs. Or a world where teachers no longer work late into the night grading homework and preparing lesson plans, instead being able to think about and prepare customized lessons for individual students. Or even a world where lawyers would no longer be stuck combing through legal documents for days, instead being free to take on charity cases for causes that inspire them. When the communication burden, the paperwork burden, and the accounting burden are taken away, the job becomes more akin to what we sell it as.

CONTENTS.
Foreword.
Preface.
Acknowledgments.
About the book.
About the authors.
About the cover illustration.
1 Words’ awakening: Why large language models have captured attention.
2 Large language models: A deep dive into language modeling.
3 Large language model operations: Building a platform for LLMs.
4 Data engineering for large language models: Setting up for success.
5 Training large language models: How to generate the generator.
6 Large language model services: A practical guide.
7 Prompt engineering: Becoming an LLM whisperer.
8 Large language model applications: Building an interactive experience.
9 Creating an LLM project: Reimplementing Llama 3.
10 Creating a coding copilot project: This would have helped you earlier.
11 Deploying an LLM on a Raspberry Pi: How low can you go?.
12 Production, an ever-changing landscape: Things are just getting started.
Appendix A History of linguistics.
Appendix B Reinforcement learning with human feedback.
Appendix C Multimodal latent spaces.
Index.



Бесплатно скачать электронную книгу в удобном формате, смотреть и читать:
Скачать книгу LLMs in Production, Brousseau C., Sharp M., 2025 - fileskachat.com, быстрое и бесплатное скачивание.

Скачать pdf
Ниже можно купить эту книгу, если она есть в продаже, и похожие книги по лучшей цене со скидкой с доставкой по всей России.Купить книги


Скачать - pdf - Яндекс.Диск.




Теги: учебник по программированию :: программирование :: Brousseau :: Sharp