A.I. and Consciousness as shown in the movies Ghost In The Shell, Ex Machina, Blade Runner and Alien the Covenant by Afrika Is Woke Magazine
Discover what Artificial Intelligence is—its types, history, and real-world applications transforming industries and daily life.
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Artificial Intelligence (AI) is changing our world fast. It's making big changes in how we live and work. As "Artificial Intelligence: A Guide to Intelligent
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What is Generative AI? Generative AI refers to a class of artificial intelligence models designed to generate content. Unlike traditional AI systems, which are programmed to identify patterns or make predictions, generative models create something entirely new—be it text, images, audio, code or even video. C͟o͟r͟e͟ ͟C͟o͟n͟c͟e͟p͟t͟s͟:͟ ͟ ͟ - Foundation Models: Built on deep neural networks, foundation models like Transformers (e.g., GPT) and Diffusion Models learn from massive datasets and can generalize across a wide range of tasks. - Learning Mechanisms: - Unsupervised Learning: Training without labeled data (e.g., autoencoders). - Self-Supervised Learning: Using input data as labels (e.g., BERT, GPT). - Fine-Tuning: Adapting a pre-trained model for specific tasks. - Capabilities: - Text: Writing coherent paragraphs, stories, or code. - Images: Creating realistic or artistic visuals. - Audio: Generating music, speech, or sound effects. - Multimodal: Combining multiple formats like text-to-image (e.g., DALL-E). H͟o͟w͟ ͟D͟o͟e͟s͟ ͟G͟e͟n͟e͟r͟a͟t͟i͟v͟e͟ ͟A͟I͟ ͟W͟o͟r͟k͟?͟ ͟ ͟ Generative AI models use probabilistic methods to predict and generate content. Here’s a breakdown of the key architectures: - Transformers: - Powered by mechanisms like self-attention, these models process sequential data efficiently, enabling tasks like text and image generation. Examples: GPT, BERT, DALL-E, Stable Diffusion. - GANs (Generative Adversarial Networks): - Two networks (a generator and a discriminator) work together to create realistic outputs. GANs are widely used in art, design, and gaming. - Diffusion Models: - Iteratively transform noise into coherent images or videos, achieving remarkable photorealism. Examples: Stable Diffusion, Imagen. - Autoencoders: - Compress and reconstruct data, often used for dimensionality reduction and generative tasks. Current Landscape of Generative AI Key Players - OpenAI: Creators of GPT, ChatGPT, and DALL-E. - Google DeepMind: Innovators of models like Gemini and Imagen. - Anthropic: Focused on safety-first generative AI models like Claude. - Cohere, Meta, Hugging Face: Open-source leaders pushing accessible innovation. Technological Advancements - Multimodal AI: Models like GPT-4 and Gemini integrate text, image, and audio capabilities into a single system. - On-Device AI: Reducing reliance on cloud-based systems for faster, privacy-conscious AI (e.g., Apple Neural Engine). - Fine-Tuned Vertical Models: Tailored models for healthcare, legal, and financial industries. Generative AI isn’t just about content creation—it’s about transforming workflows, democratizing creativity, and enhancing human potential. | 27 comments on LinkedIn
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