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Harnessing Ollama - Create Secure Local LLM Solutions with Python
Harnessing Ollama - Create Secure Local LLM Solutions with Python

Harnessing Ollama - Create Secure Local LLM Solutions with Python: Master and Run Custom Ollama LLMs Privately on Your System with a ChatGPT-Like Interface

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Profile Icon Paulo Dichone
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Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Dec 2024 3hrs 14mins 1st Edition
Video
Mex$179.99 Mex$2256.99
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Free Trial
Arrow left icon
Profile Icon Paulo Dichone
Arrow right icon
Free Trial
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Dec 2024 3hrs 14mins 1st Edition
Video
Mex$179.99 Mex$2256.99
Subscription
Free Trial
Video
Mex$179.99 Mex$2256.99
Subscription
Free Trial

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Key benefits

  • Comprehensive hands-on projects for private LLM customization and deployment
  • Step-by-step guidance to build interactive applications without cloud reliance
  • Advanced workflows, including voice response and function calling integrations

Description

Discover how to deploy and harness the power of local LLMs with Ollama in this hands-on course. You'll begin by setting up and configuring Ollama on your system, gaining full control of large language models without relying on the cloud. Learn how to optimize resources, explore model parameters, and test various LLMs, including multimodal models like Llava, for text, vision, and code-generation tasks. Delve deeper into customizing models with the Modelfile and command-line tools to meet specific needs. The course covers executing terminal commands for monitoring, troubleshooting, and deploying models. You'll also integrate Ollama models with Python, leveraging its library and OpenAI API compatibility to build interactive applications. Advanced modules guide you through creating Retrieval-Augmented Generation (RAG) systems using LangChain, embedding databases, and querying capabilities for enhanced performance. As you progress, you'll set up ChatGPT-like interfaces for seamless model interaction and explore advanced workflows like function calling and voice-enabled RAG systems. By the end, you’ll master Ollama’s ecosystem, equipping you with the skills to build secure, private, and highly efficient LLM-based applications that can operate independently of cloud services.

Who is this book for?

This course is ideal for developers, AI enthusiasts, and data scientists eager to harness local LLMs for secure and private applications. Whether you're new to Ollama or experienced with AI systems, you'll benefit from its practical focus on deploying and customizing models. A basic understanding of Python and command-line tools is recommended, while prior experience with AI concepts, though helpful, is not required.

What you will learn

  • Design and deploy secure local LLM solutions with Ollama
  • Customize models to meet specific needs and applications
  • Execute commands to control and monitor LLMs effectively
  • Develop Python apps to integrate with Ollama models
  • Create RAG systems using LangChain and vector databases
  • Configure user-friendly interfaces for seamless interaction

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 23, 2024
Length: 3hrs 14mins
Edition : 1st
Language : English
ISBN-13 : 9781837020058
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Languages :
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Product Details

Publication date : Dec 23, 2024
Length: 3hrs 14mins
Edition : 1st
Language : English
ISBN-13 : 9781837020058
Category :
Languages :
Concepts :

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Table of Contents

10 Chapters
Introduction Chevron down icon Chevron up icon
Development Environment Setup Chevron down icon Chevron up icon
Ollama Deep Dive - Introduction to Ollama and Setup Chevron down icon Chevron up icon
Ollama CLI Commands and the REST API - Hands-on Chevron down icon Chevron up icon
Ollama - User Interfaces for Ollama Models Chevron down icon Chevron up icon
Ollama Python Library - Using Python to Interact with Ollama Models Chevron down icon Chevron up icon
Building LLM Applications with Ollama Models Chevron down icon Chevron up icon
Ollama Tool Function Calling - Hands-on Chevron down icon Chevron up icon
Final RAG System with Ollama and Voice Response Chevron down icon Chevron up icon
Wrap Up Chevron down icon Chevron up icon

Customer reviews

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Full star icon Full star icon Full star icon Full star icon Full star icon 5
(1 Ratings)
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4 star 0%
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1 star 0%
Josh Dec 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A solid overview and a good pace. I learned a lot from taking this course that would have taken me many more hours on my own. The instructor's voice and cadence are great and the theoretical explanations provide an appropriate amount of context before diving into the code.
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