Infographic showing change-making process
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Illustrated map-like infographic highlighting the rise and fall of major civilizations (e.g., Ancient Greece, Roman Empire, Chinese dynasties), social/political movements (e.g., revolutions, reforms), and the evolution of cultural practices (e.g., art, music, literature), using a rich, historical color palette. Include stylized icons, timelines, and regional illustrations. The page is filled with one main object and additional details around it. Color palette of pink, orange and blue --v 6.1 --style raw
Design a clean, visually engaging infographic that compares the differences between Generative AI, AI, MLP (Multilayer Perceptron), and LLM (Large Language Models) on a white background with cherry red (#d32f2f) as the primary accent color. Each section should briefly define each technology and list platforms that use it. Use retro-inspired, 1950s mid-century advertising art style with bold typography, simple icons, and clear sections. Incorporate stylized illustrations such as vintage robots for AI, neural networks for MLP, speech bubbles or text for LLM, and creative elements like brushes or pens for Generative AI. Ensure the infographic has a balanced, organized layout with clear headings and a nostalgic, but modern feel. Breakdown of Sections: 1. Artificial Intelligence (AI): • Definition: Broad field of computer science focused on building systems capable of performing tasks that require human intelligence. • Platforms: Google Assistant, Siri, Tesla Autopilot, Salesforce Einstein 2. Generative AI: • Definition: AI that creates new content such as text, images, video, and audio by learning from existing data patterns. • Platforms: ChatGPT, DALL-E 2, MidJourney, Jasper AI, RunwayML 3. MLP (Multilayer Perceptron): • Definition: A type of neural network with multiple layers used for tasks like classification and regression. • Platforms: TensorFlow, PyTorch, Keras, Azure Machine Learning, IBM Watson Studio 4. LLM (Large Language Models): • Definition: Large models trained on massive datasets of text to perform language-based tasks like text generation and translation. • Platforms: GPT-4 (OpenAI), BERT (Google), Claude (Anthropic), BLOOM, Microsoft Azure
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