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AI Game Creation with Genie 2 and PaliGemma 2: From Prompts to Virtual Worlds

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Overview

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Explore a 22-minute video showcasing two groundbreaking AI developments in game creation and vision models. Learn about Genie 2's prompt-to-game capabilities using autoregressive latent diffusion and SIMA agents in 3D virtual worlds, complete with live demonstrations. Dive into PaliGemma 2's architecture, examining its pre-training datasets, fine-tuning processes with JAX, and implementation on Hugging Face. Access hands-on code examples through provided GitHub repositories and Google Colab notebooks to experiment with these cutting-edge AI technologies. Perfect for developers and AI enthusiasts interested in game development, computer vision, and practical applications of machine learning using Python, Keras, and JAX frameworks.

Syllabus

Genie 2 Prompt-to-Game
Autoregressive Latent Diffusion
SIMA Agents in 3d virtual world
Genie 2 DEMO
OpenAI o1 PRO model
PaliGemma 2 Intro
Pre-training datasets
Finetune PaliGemma2 w JAX
PT and FT models on HF
PaliGemma 2 DEMO
PaliGemma 2 CODE NB

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