At a Glance

Name: Gen AI Boxing Analysis: Mike Tyson vs Jake Paul Showdown
Price: Free CAD
Rating: 4.6 (12 reviews)
Author: joseph_santarcangelo, ricky_shi, hailey_quach

Master prompt engineering and generative AI in this interactive project, where you’ll create an expert-level bot for boxing with minimal coding. Using models like GPT-4 and IBM Granite 3.0, participants will learn to optimize prompts for detailed boxing matches analysis. This hands-on project deepens understanding of AI capabilities, offering unique insights into AI-driven predictions for boxing matches. Ideal for beginners and AI enthusiasts alike, this experience builds essential skills in model evaluation, AI application, and specialized prompt tuning.

A Look At The Project Ahead

Imagine stepping into the role of a seasoned sports commentator, equipped with cutting-edge AI tools to make predictions and analyze match-ups with precision. In this guided project, you’ll use a low to no-code approach to bring AI to life through careful prompt engineering. You’ll develop a bot that analyzes boxing matches—channeling the expertise of a commentator who understands fighters' strengths, weaknesses, and styles. In a later additional exercise, you’ll create a chess expert bot with the insight of a chess grandmaster.

Working with leading models like GPT-4 and IBM Granite 3.0, you’ll experiment with prompt optimization to draw out the unique analytical capabilities of each model. This hands-on approach allows you to witness the strengths and limitations of AI firsthand, gaining deeper insights into AI-driven applications and learning how to tailor model inputs to achieve expert-level performance.

This project not only refines your AI skills but also prepares you to design specialized tools, ideal for sports analysis and beyond. Whether you're interested in AI for sports commentary, real-time predictions, or simply want to explore the dynamic interactions between AI and human input, this lab is the perfect opportunity to dive deep into the potential of generative AI.

What You’ll Achieve

By the end of this lab, you will:

Master the basics of prompt engineering and see how it shapes AI responses.
Explore various large language models to understand how different prompts yield unique insights.
Build a boxing expert bot, creating detailed, data-backed analysis for upcoming matches.
Sharpen your skills in AI application development and model evaluation, laying the groundwork for developing specialized AI tools.

Who Should Complete This Project?

This project is ideal for:

AI Enthusiasts and Beginners who want hands-on experience with large language models and Generative AI.
Sports Fans interested in understanding how AI can analyze and predict boxing match outcomes.
Data Science Students looking to enhance their knowledge of prompt engineering, model evaluation, and application design.
Professionals in AI and Machine Learning who seek practical, low to no-code projects that focus on prompt optimization and AI-driven insights.
Anyone intrigued by the potential of AI for real-world applications, particularly in sports analysis and prediction.

What You'll Need

To complete this project, you should have:

Basic familiarity with AI concepts and terminology.
Experience with web browsers (e.g., Chrome, Firefox, Edge, Safari).
No extensive coding experience required; this lab is designed with a low to no-code approach, using pre-installed tools within the IBM Skills Network Labs environment.

Offered By: IBMSkillsNetwork

Gen AI Boxing Analysis: Mike Tyson vs Jake Paul Showdown

At a Glance

A Look At The Project Ahead

What You’ll Achieve

Who Should Complete This Project?

What You'll Need

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