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Great Intro Guide for LLMs
I’ve been working in software engineering for over 10 years and would like to know more about LLMs. This was a great resource to help me understanding LLMs from the ground up. I highly recommend this book to those who are in the same boat as me.
Mastering LLMs: A Game-Changer for Data Engineers!
âLLM Engineerâs Handbookâ by Paul Iusztin is a must-read for anyone passionate about data and machine learning! This book dives deep into the world of large language models, taking you from understanding the core concepts to deploying these models in production. I was excited to explore topics like model architecture, fine-tuning, and real-world applications, which were explained with such clarity and depth. The practical examples helped me immediately apply the knowledge to my own projects, and the insights on scaling and optimization were game-changers.Paul Iusztin does a fantastic job making complex topics accessible and engaging. Whether youâre just getting started or looking to sharpen your LLM skills, this book is an invaluable resource. I couldnât put it down and left with a wealth of knowledge that will undoubtedly level up my engineering expertise. Highly recommend!
Excellent Resource for LLM
As an IT pro who’s background is in Front End Reporting this LLM this book is beneficial.It has helped to get an understanding on what it is and how to use it. It can take a novice to the next level by applying best practices and detailed explanations. You can follow along in each chapter that gives you a stage by stage instructions that are easy to comprehend. It has example code files for you to download and utilize while following along with the book.I would definitely recommend this book to colleagues wanting to learn more about LLM. It might be challenging if you don’t have any software development skills but it is worth the challenge.
Takes you from using AI to using AI for your specific use case
I have been a software developer for two decades and I kind of have an idea about how AI works. I even ranked high in a stock market trading contest 3 times…by messing with configuration variables and features. I wasn’t about to crack open the model or create my own to see how it actually worked. And by messing with configuration variables, I mean changing them arbitrarily and checking the results.This book with help take you from my level of “developing with AI” to the point you actually know what you are doing. There is more to AI that “prompt engineering” or using an AI model. A lot more.
Llm Engineer’s Handbook Everyone needs!!
I have been reading books from a long time and have had a special interest for AI what helps me understand LLMs more than anything has been books around it, I have almost read every article out there and even every published paper, what makes this book unique is the blend of experience and touch of professional handson experience, what interested me the most is the sections around Aws which I have been really intrigued about and I believe this is something everyone around AWS needs to work around and I as an avid reader would suggest this is probably the best resource out there.5/5 for how well this book reads
Great Book for understanding LLM
The book is really good for beginners as there are ton of resources online and this book tries to bring it all up at one place. I myself is new to LLMs so this book will personally help me to know more about it and make me efficient to use the knowledge in the book in my real world projects.
Excellent and accessible guide
Excellent resource for anyone who is willing to build an end-to-end LLM from scratch. What makes it unique is the project-based approach where we are trying to build one LLM project from scratch and eventually deploy it.
You Should be Building LLMs
If you haven’t heard of LLM’s yet, you better start learning about them if you are involved in IT, data engineering, or data analysis. This book is a great guide on setting up an LLM and understanding the architecture involved behind them. It’s one of many books that you should have in your toolset.