LLM Engineering Masterclass #23: Building the Presentation Layer

Welcome to Lesson 3 of the LLM Engineering Masterclass.

In this episode, we build the Presentation Layer for our AI-powered Web Summariser application.

While Large Language Models provide the intelligence, users interact with applications through interfaces. The Presentation Layer is responsible for collecting user input, displaying results, handling validation, and providing a user-friendly experience.

In this lesson, we cover:

✅ What the Presentation Layer is

✅ The role of UI and UX in AI applications

✅ Connecting the user interface to the Orchestrator Layer

✅ Collecting and validating user input

✅ Displaying AI-generated summaries

✅ Error handling and user feedback

✅ Designing maintainable application interfaces

✅ Production architecture considerations

Using our AI Web Summariser project, we will build the user-facing layer that allows users to enter a website URL, submit requests, and view AI-generated summaries.

We will also discuss how presentation layers evolve in enterprise environments through technologies such as Streamlit, Flask, FastAPI, React, Microsoft Teams, and SharePoint integrations.

By the end of this lesson, you will understand how to transform an AI backend into a complete user-facing application.

Ahmed Mahmoud

AI Solution Architect | Snowflake Solution Architect | Principal Data Engineer

🚀 From Beginner to Production AI

Видео LLM Engineering Masterclass #23: Building the Presentation Layer канала DataMindAI with Ahmed