Making a LLM Prediction Game with Flask

Overview

Build a Python-based LLM game where players guess the model’s next word. Across three courses, you’ll create a daily-refreshed, Wordle-style game with a web frontend. Players earn points by predicting the LLM’s next word based on semantic similarity.

Syllabus

Course 1: Creating the base Word Play Game Data
Course 2: Enhancing the Word Play Game with new functionalities
Course 3: Creating a frontend for the Word Play Game

Courses

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2 hours
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This course walks learners through the foundation of the LLM prediction game: how the game works, how prompts are structured, how they are generated for each day, and how LLM responses are used and tokenized. By the end of this course, you’ll have a self-contained daily dataset powering the game logic.
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3 hours
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Now that the base game logic is in place, this course introduces user interaction, semantic scoring, and a leaderboard system to bring competition and personalization into the experience. Learners will integrate server logic that connects the frontend with dynamic game behavior.
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3 hours
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This course introduces learners to the process of building a web interface for the LLM prediction game using HTML, CSS, and JavaScript. By the end, players can interactively play the game, submit guesses, see scores, and compete on a leaderboard.