Ollama in Action - Run Private, Multimodal AI on Your Own Machine Install Local LLMs, Call Them from Python
Ollama in Action - Run Private, Multimodal AI on Your Own Machine Install Local LLMs, Call Them from Python | 5.66 MB
Title: Ollama in Action - Run Private, Multimodal AI on Your Own Machine Install Local LLMs, Call Them from Python
Author: Zenva Academy
Language: English | 81 Pages | ISBN: 9781808652516
Description:
Run powerful AI models privately on your own machine with Ollama: no cloud, no API bills, no limits.
Local LLMs used to be painful to set up. Ollama makes them simple. In this hands-on guide you'll install Ollama, run and manage models from the command line, call them from Python, and build a real multimodal application that reads images and writes structured data, all running entirely on your own hardware.
What you'll build and learn
Understand what local LLMs are and the real trade-offs of running them yourself
Install Ollama on macOS, Windows, or WSL and verify it works
Use the core commands to pull, run, list, switch, and delete models
Call Ollama from Python and send images to a multimodal model
Build a stateful chatbot that remembers the conversation
Create a project that catalogs a folder of images into a CSV with a local LLM
Choose the right model for your hardware and performance needs
Who this book is for
Python users curious about local AI who want privacy, lower cost, and the freedom to experiment. You don't need prior experience building AI apps.
Why this book works
This is a clear, step-by-step guide from the team at Zenva, whose courses have taught millions of people to code. Your download includes the complete project files so you can follow along and adapt the workflow to your own use cases.
DOWNLOAD:
https://rapidgator.net/file/9e70af61016fc782fa3be7d93b035706/9781808652516.rar
https://nitroflare.com/view/B8CF4C3BD43271E/9781808652516.rar
Run powerful AI models privately on your own machine with Ollama: no cloud, no API bills, no limits.
Local LLMs used to be painful to set up. Ollama makes them simple. In this hands-on guide you'll install Ollama, run and manage models from the command line, call them from Python, and build a real multimodal application that reads images and writes structured data, all running entirely on your own hardware.
What you'll build and learn
Understand what local LLMs are and the real trade-offs of running them yourself
Install Ollama on macOS, Windows, or WSL and verify it works
Use the core commands to pull, run, list, switch, and delete models
Call Ollama from Python and send images to a multimodal model
Build a stateful chatbot that remembers the conversation
Create a project that catalogs a folder of images into a CSV with a local LLM
Choose the right model for your hardware and performance needs
Who this book is for
Python users curious about local AI who want privacy, lower cost, and the freedom to experiment. You don't need prior experience building AI apps.
Why this book works
This is a clear, step-by-step guide from the team at Zenva, whose courses have taught millions of people to code. Your download includes the complete project files so you can follow along and adapt the workflow to your own use cases.
DOWNLOAD:
https://rapidgator.net/file/9e70af61016fc782fa3be7d93b035706/9781808652516.rar
https://nitroflare.com/view/B8CF4C3BD43271E/9781808652516.rar
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