September 2024
Intermediate to advanced
240 pages
6h 24m
English
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9 GPT-ing on the go
This chapter covers
- Running a large language model locally
- Comparing the results of two locally hosted large language models against those of ChatGPT
- Determining when using offline models is appropriate
Imagine you are on your way to an AI conference halfway around the world. You are on a plane, cruising at 35,000 feet above the ground, and you want to prototype a new feature for your application. The airplane’s Wi-Fi is prohibitively slow and expensive. What if instead of paying all that money for a broken and borderline unusable GPT, you have one running right there on your laptop, offline? This chapter will review developers’ options to run a large language model (LLM) locally.
9.1 Motivating theory
The introductory scenario ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.