Zero to Hero in Ollama: Create Local LLM Applications

سرفصل های دوره

Run customized LLM models on your system privately | Use ChatGPT like interface | Build local applications using Python

1 - Introduction

1 -Introduction

1 -Ollama Course.zip

1 -Ollama Course presentation.pdf

1 -Other course resources.zip

2 -Installing and Setting up Ollama

3 -Model customizations and other options

4 -All Ollama Command Prompt Terminal commands

4 -mymodelfile.txt

2 - Open WebUI - ChatGPT like interface for Ollama models

1 -Introduction to Open WebUI

2 -Setting up Docker and Open WebUI

3 -Open WebUI features and functionalities

4 -Getting response based on documents and websites

5 -Open WebUI user access control

3 - Types of Models and their capabilities

1 -Types of Ollama models

2 -Text models

3 -Vision models

3 -bar chart.zip

3 -callcenter.zip

3 -cc.zip

4 -Code generating models

5 -Create custom model from gguf file

5 -phi3mini.txt

4 - Using Ollama with Python

1 -Installing and Setting up Python environment

1 -Ollama Course.zip

2 -Using Ollama in Python using Ollama library

3 -Calling Model using API and OpenAI compatibility

5 - Using Ollama with LangChain in Python

1 -What is LangChain and why are we using it

2 -Basic modules of Langchain

2 -Ollama Course.zip

6 - Creating RAG application using Ollama and LangChain

1 -Understanding the concept of RAG (Retrieval Augmented Generation)

2 -LangchainRetrieval.txt

2 -Loading, Chunking and Embedding document using LangChain and Ollama

3 -Answering user question with retrieved information

7 - Using Tools and Agents with Ollama models

1 -Understanding Tools and Agents

2 -Ollama Course.zip

2 -Tools and Agents using LangChain and Llama3.1

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تولید کننده: Udemy