Generative AI Overview

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Generative AI Overview. Definition: AI systems that generate images, audio, video, and designs Uses: Creative industries, content creation, UX/UI, automation Example: Using DALL·E to generate marketing graphics.

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Text-to-Image Models. DALL·E: Creates images from textual prompts Midjourney: High-quality artistic image generation Example: Generate product prototypes using text descriptions.

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DALL·E – Example. Use Case: Ad banners, product mockups, educational visuals Example Prompt: “A futuristic classroom with holographic displays” Output: AI‑generated high‑resolution artwork.

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Midjourney – Example. Use Case: Concept art, posters, branding assets Example Prompt: “Cyberpunk city with neon lights, ultra‑detailed” Output: Realistic artistic image designs.

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AI Video Creation Tools. Runway ML: Video editing, motion tracking, AI-generated scenes Synthesia: AI avatars for corporate communication Pictory: Converts text scripts into video content.

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Runway ML – Example. Use Case: Removing backgrounds, generating cinematic shots Example: Create video transitions using text commands Feature: Gen‑2 text‑to‑video generation.

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Synthesia – Example. Use Case: Training videos, tutorials, presentations Example: AI avatar delivering a company policy update Benefit: No camera or studio required.

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Text‑to‑Speech (TTS) Tools. ElevenLabs: Realistic human‑like voice synthesis Descript: Voice cloning & podcast editing Use Case: Audiobooks, voice‑overs, narration.

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ElevenLabs – Example. Use Case: Creating multilingual voice‑overs Example: Convert blog content into a narrated audio clip Feature: Emotion‑controlled voice generation.

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AI in UX/UI Design. Uizard: Converts sketches into UI designs Figma AI: Auto‑layouts, design suggestions Example: Generate full app UI from a hand‑drawn wireframe.