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How to Build an API with Python for LLM Integration Using FastAPI and Ollama

Tech with Tim via YouTube

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Overview

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Learn to build a secure Python API for controlling Large Language Models (LLMs) in this comprehensive tutorial video. Master the fundamentals of API development using FastAPI and Ollama, starting with the rationale behind API implementation for AI models. Progress through setting up a local Ollama environment, configuring the development workspace, and creating basic FastAPI endpoints. Explore API testing methodologies, implement robust security measures, and discover how to make API calls directly from Python. Access hands-on examples with provided GitHub code repository, and utilize recommended tools like PyCharm IDE and Postman for API testing. Perfect for developers looking to create secure interfaces for AI model interactions while gaining practical experience with modern Python web development tools and practices.

Syllabus

00:00 | Why Do You Need an API?
02:29 | Setting Up Ollama Free & Local
04:15 | Environment Setup
07:05 | Writing a Simple FastAPI Endpoint
09:53 | Testing the API
12:35 | Securing the API
17:57 | Testing the Secured API
19:22 | Calling the API From Python

Taught by

Tech With Tim

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