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A short class with Sarah and her students. The other ways are under More.
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Today, we're going to explore Text Generation AI. These models, like ChatGPT and Google Gemini, are trained on enormous datasets to create human-like text based on prompts. Can anyone tell me some use cases?
They can write articles or engage in chatbots.
What about translating languages? Can they do that?
Absolutely! Language translation is a significant application of Text Generation AI. Remember, the input is a text prompt, and the output is text. Let's snap this into our memory: T for Text prompt and T for Text output. Let's move on!
Now, let’s discuss Image Generation AI. These systems, like DALL·E, take text or image inputs to create new images. What are some applications you can think of?
Creating digital artwork, right?
And designing prototypes for products!
Exactly! For Image Generation, the input can be text or an image, producing new images as output. To remember this, we can use the acronym 'IGAI' – 'Image Generation AI Input to Generate Images.' Fantastic job!
Let's dive into Audio and Music Generation AI. These tools like OpenAI’s Jukebox can generate music and human-like speech. Any use cases spring to mind?
Voiceovers for videos!
Personalized learning materials could use this too.
Great insights! For Audio Generation, remember: it inputs text or music notes and outputs audio or music. A memory aid could be ‘M for Music and A for Audio Output.’
Now, transitioning to Video Generation AI. This technology allows us to create video content from text or images, like with tools such as Runway. What are typical use cases?
Creating marketing videos?
Educational animations could also use this tech!
Exactly! Input could be text or images, with video as the output. Let’s use the mnemonic ‘TV Generates Videos’ to remember this type.
Finally, let’s discuss 3D Object and Code Generation AI. NVIDIA GauGAN creates 3D models, while GitHub Copilot assists in coding. Who can tell me their inputs and outputs?
For 3D models, it’s text or images that output a 3D model!
And for code generation, it uses code prompts to produce code outputs.
Spot on! For 3D Generative AI, our memory hook is ‘3D Output from Diverse Inputs.’ For Code Generation, we can remember ‘C for Code Prompt, C for Code Output.’ Excellent work today, everyone!
Generates text from prompts, used in chatbots and essays.
Creates images from text or other images, utilized in digital art.
Produces sound or music from text/music inputs.
Generates videos based on text or image sequences.
Assists in writing code.
ChatGPT as an example of Text Generation AI which generates human-like responses.
DALL·E generating unique images based on textual descriptions.
OpenAI’s Jukebox writing original music compositions.
Runway AI creating video clips based on user prompts.
GitHub Copilot assisting developers by completing code snippets.
Text generates, and art awaits, sounds create, content motivates.
Imagine a world where a text inspires an artist, creating a beautiful image, while a musician listens and makes a melody, and finally an editor stitches it together in a video.
TIGC - Text, Images, Generate, Code for types of generative AI.
TIVC3 - Text, Image, Video, Code, 3D - referencing the types of generative AI.
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Input for Text Generation AI
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Output of Image Generation AI
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Use for Audio Generation AI
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Input for Code Generation AI
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Output of Video Generation AI
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Artificial intelligence systems capable of creating new content such as text, images, and audio.
Models designed to generate human-like text based on prompts.
AI that generates new visual content from text descriptions or input images.
Systems that create sound or music based on text or music notes.
AI that produces video content from textual or image inputs.
Models that assist in writing and debugging code.
AI that creates three-dimensional models or assets.
This section outlines the different types of generative AI, focusing on their input and output characteristics.
The section elaborates on various generative AI types by detailing their specific inputs and outputs, highlighting the key use cases for each type, which include text, images, audio, video, code, and 3D models.
Generative AI refers to a range of artificial intelligence technologies that produce various forms of content. This section categorizes generative AI into different types based on their input/output characteristics and key use cases:
Understanding these distinctions enables better comprehension of how generative AI can be applied across various domains, facilitating creativity and innovation in multiple fields.