Groq Function Calling Llama 3: How to Integrate Custom API in AI App?

🚀 Join me in this comprehensive tutorial where we explore the incredible capabilities of Llama 3 for creating and integrating AI applications with APIs. We'll start from scratch, setting up our environment, and proceed through building our own API and integrating it with a powerful AI app. By the end of this video, you'll learn how to create a seamless user interface that interacts dynamically with both AI and API to deliver real-time responses.

🔍 What You Will Learn:
Setting up a virtual environment with Gro Python 3.11.
Creating an API using Flask for handling data requests.
Integrating an AI application with the API using Llama 3.
Designing a user-friendly interface for real-time AI interactions.

🛠️ Setup Steps:
Initialise and activate the virtual environment.
Install necessary packages like Flask, Gradio, Requests.
Code along as we build the API and link it with our AI application.
Launch the application and test it through a user interface.

📺 Why Watch This Video?
Understand the synergy between AI and APIs.
Gain practical skills in setting up and integrating advanced software solutions.
Witness real-time application functionality through a simple user interface.

✨ Timestamps:
0:00 - Introduction to AI & API Integration
0:47 - Setting up the Development Environment
1:04 - Building the API with Flask
2:31 - Integrating the AI Application
3:50 - Creating the User Interface
7:58 - Running the Complete System

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🔗 Resources:

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