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📚 My new book, live: LLM Customization and Fine-Tuning (@ManningBooks), with @weehyong
Which adaptation technique, and how to choose? A hands-on, reproducible playbook you run end to end on one GPU.
50% off through Jul 23: hubs.la/Q04nJFBn0 #LLM #GenAI #FineTuning #AI
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The complete manuscript of my book with Weehyong Tok, LLM Customization and Fine-Tuning (@ManningBooks), is now in Early Access. The MEAP had chapters 1 to 5 since July.
Here is what the four new chapters give you.
📚 My new book, live: LLM Customization and Fine-Tuning (@ManningBooks), with @weehyong
Which adaptation technique, and how to choose? A hands-on, reproducible playbook you run end to end on one GPU.
50% off through Jul 23: hubs.la/Q04nJFBn0 #LLM #GenAI #FineTuning #AI
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Chapter 8, preference optimization: run DPO and see what it buys, shorter answers a blinded judge preferred, correctness intact, nothing on the axis you didn't train. Then GRPO, RLHF, verifiable-reward RFT, and who needs them.
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Chapter 9, production: registry, drift detection, one-hour rollback, scheduled safety monitor, retraining triggers, and a year-long case study.
Manuscript complete, and making its way to production. Thanks, @weehyong and our editor Rebecca. hubs.la/Q04nJFBn0
Hey. He is a geek like us. Woot. @BenAffleck
Ben Affleck: "I’ve always been into computers. I can write pretty shitty Python scripts."
Interviewer: lol
Ben: "So obviously you convert the image into a tensor containing the batch, frame and RGB values of every pixel."
Interviewer: wtf
Ben: "Then run a convolutional neural network for edge detection and feature extraction."
Interviewer: jaw on floor
Ben: "It’s pretty simple."
This looks like a version on @elonmusk on a diet.
I feel judged. Paging @kbsingh
Today only - 45% off my new book, LLM Customization and Fine-Tuning, co-written w/ @weehyong. It's a hands-on playbook for customizing LLMs to your business, your budget, and your own infra - and keeping them reliable once they're in production. Grab it while the deal's live 👇
Save 45%, only on Aug. 23rd!
Today, you can save on LLM Customization and Fine-Tuning by @bahree and Weehyong Tok and other related titles: hubs.la/Q04tSjFp0
Learn how to customize your LLM, so it knows your business, respects your budget, runs on your infrastructure, and stays reliable in production.
Amit Bahree 🌏💾 retweeted
Okay, Gartner just published its first-ever Magic Quadrant for “AI-Augmented Code Modernization Tools.” AWS is a Leader, and is already licensing ($$$) the reprint.
This document is a masterpiece, but not of analysis. No, of genre. 🧵
Amit Bahree 🌏💾 retweeted
The hardest LLM decision often isn't how to fine-tune a model. It's whether you should fine-tune it at all.
Prompting? RAG? LoRA? Full fine-tuning? Each has its place.
@bahree explains what inspired LLM Customization and Fine-Tuning and why understanding those tradeoffs matters: hubs.la/Q04pRNzg0
The book: hubs.la/Q04pRN730
📚 Today only (July 13th), my book knows when to reduce its parameters: 50% off.
LLM Customization and Fine-Tuning (@ManningBooks), w/ @weehyong is the Deal of the Day. One epoch, no second pass - gone at midnight.
Get it here --> hubs.la/Q03-d27Y0
Full write-up - the why, the how, the chapter-by-chapter arc - on my blog: blog.desigeek.com/post/2026/…