Mastering Ollama: Build Private Local LLM Apps with Python

سرفصل های دوره

Run custom Ollama LLMs privately on your system—Use ChatGPT-like UI—Hands-on projects—No cloud or extra costs required

1 - Introduction

1 -Introduction & What Will Your Learn

2 -Course Prerequisites

3 -Please WATCH this DEMO

2 - Development Environment Setup

1 -Development Environment Setup

3 - Download Code and Resources

1 - Download Source code and Resources.html

4 - Ollama Deep Dive - Introduction to Ollama and Setup

1 -Ollama Deep Dive - Ollama Overview - What is Ollama and Advantages

2 -Ollama Key Features and Use Cases

3 -System Requirements & Ollama Setup - Overview

4 -Download and Setup Ollama and Llam3.2 Model - Hands-on & Testing

5 -Ollama Models Page - Full Overview

6 -Ollama Model Parameters Deep Dive

7 -Understanding Parameters and Disk Size and Computational Resources Needed

5 - Ollama CLI Commands and the REST API - Hands-on

1 -Ollama Commands - Pull and Testing a Model

2 -Pull in the Llava Multimodal Model and Caption an Image

3 -Summarization and Sentiment Analysis & Customizing Our Model with the Modelfile

4 -Ollama REST API - Generate and Chat Endpoints

5 -Ollama REST API - Request JSON Mode

6 -Ollama Models Support Different Tasks - Summary

6 - Ollama - User Interfaces for Ollama Models

1 -Different Ways to Interact with Ollama Models - Overview

2 -Ollama Model Running Under Msty App - Frontend Tool - RAG System Chat with Docs

7 - Ollama Python Library - Using Python to Interact with Ollama Models

1 -The Ollama Python Library for Building LLM Local Applications - Overview

2 -Interact with Llama3 in Python Using Ollama REST API - Hands-on

3 -Ollama Python Library - Chatting with a Model

4 -Chat Example with Streaming

5 -Using Ollama show Function

6 -Create a Custom Model in Code

8 - Ollama Building LLM Applications with Ollama Models

1 -Hands-on Build a LLM App - Grocery List Categorizer

2 -Building RAG Systems with Ollama - RAG & LangChain Overview

3 -Deep Dive into Vectorstore and Embeddings - The Whole Picture - Crash course

4 -PDF RAG System Overview - What well Build

5 -Setup RAG System - Document Ingestion & Vector Database Creation and Embeddings

6 -RAG System - Retrieval and Querying

7 -RAG System - Cleaner Code

8 -RAG System - Streamlit UI

9 - Ollama Tool Function Calling - Hands-on

1 -Function Calling (Tools) Overview

2 -Setup Tool Function Calling Application

3 -Categorize Items Using the Model and Setup the Tools List

4 -Tools Calling LLM Application - Final Product

10 - Final RAG System with Ollama and Voice Response

1 -Voice RAG System - Overview

2 -Setup EleveLabs API Key and Load and Summarize the Document

3 -Ollama Voice RAG System - Working!

4 -Adding ElevenLab Voice Generated Reading the Response Back to Us

11 - Wrap up

1 -Wrap up - Whats Next

189,000 تومان

افزودن به سبد خرید

خرید دانلودی فوری

در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

تولید کننده: Udemy