Unique abstract generative art creation

abstract firwork flowers, neon colors, hyper details, 8k, hyper realistic --v 5.2

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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

funny generative art

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abstract glitter and watercolor elements like that seen on creative market

abstract neon painting of orange, blue, purple, green and other neon colors on a black wall, in the style of vivid energy explosions, mesmerizing colorscapes --ar 40:29

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A recent article from McKinsey & Company discusses the future of work throughout the world, focusing on the impact of generative AI. It predicts that by 2030, up to 30% of hours currently worked could be automated, accelerated by generative AI. However, this technology is more likely to enhance the work of STEM, creative, and business professionals rather than eliminate jobs. The sectors most likely to be affected are office support, customer service, and food service. Their research also talks about the need for workforce development and hiring for skills rather than credentials. Step 2: Implications for New Graduates and Early-Career Individuals Skill Development: New graduates and early-career individuals should focus on acquiring skills that are less likely to be automated, such as; - creativity, - problem-solving, and - emotional intelligence STEM Fields: Those in STEM fields are likely to see their work enhanced rather than replaced by generative AI, making these careers more secure in the long term. Adaptability: The ability to adapt and learn new skills will be crucial as the job landscape changes due to technological advancements.

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different generative AI tools live and ready-to-use

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generative art deconstructed and stylized 3D flowers

A collage of different generative AI applications, such as a chatbot, a synthetic voice, a text-to-image model, an AI-powered video editor, and a video generation model, highly detailed, with bright and colorful explosions, 8K --ar 16:9