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Git Push Get an AI API - Building AI-Augmented Apps with Classification and Natural Language Processing

AI Engineer via YouTube

Overview

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Learn to build AI-augmented applications through a hands-on workshop that demonstrates practical integration of artificial intelligence features including classification, natural language search, summarization, and outlier detection. Explore how to iteratively improve AI implementations both during development and after production deployment using Hypermode to accelerate development while minimizing infrastructure overhead. Discover when and how to integrate AI capabilities into existing applications without requiring extensive refactoring, gaining practical intuition for AI implementation strategies. Follow along as the workshop covers AI platform fundamentals, getting started with development tools, building categorization systems, and implementing real-world use cases like documentation enhancement and GitHub issue triage. Master the process of connecting to external services, utilizing templates, monitoring inference history, reviewing system logs, and deploying AI-enhanced applications to production environments.

Syllabus

Intro
AI platform
Getting started
Agenda
Hyper Categories
Game Play
Game Start
Results
Concepts
Why AI
Documentation
GitHub issue triage
Connecting to GitHub
Using the template
Inference History
System Logs
Hyper Mode
Deployment

Taught by

AI Engineer

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