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| const { createApp, ref, onMounted } = Vue; | |
| const UseCases = [ | |
| { | |
| "name": "Natural Language Processing (NLP)", | |
| "examples": [ | |
| { | |
| "name": "Generate Text Stream", | |
| "description": "Generate text in real-time based on a given input.", | |
| "link": "/nlp/generate-text-stream/" | |
| }, | |
| { | |
| "name": "Fill Mask", | |
| "description": "The Fill Mask model can complete sentences where words are masked.", | |
| "link": "/nlp/fill-mask/" | |
| }, | |
| { | |
| "name": "Summarization", | |
| "description": "Condense large pieces of text into shorter, coherent versions.", | |
| "link": "/nlp/summarization/" | |
| }, | |
| { | |
| "name": "Question Answering", | |
| "description": "Get answers to specific questions based on the provided context.", | |
| "link": "/nlp/question-answering/" | |
| }, | |
| { | |
| "name": "Text Classification", | |
| "description": "Classify the sentiment of a given piece of text.", | |
| "link": "/nlp/text-classification/" | |
| }, | |
| { | |
| "name": "Text Generation", | |
| "description": "Generate text based on a given input.", | |
| "link": "/nlp/text-generation/" | |
| } | |
| ] | |
| }, | |
| { | |
| "name": "Audio", | |
| "examples": [ | |
| { | |
| "name": "Speech Recognition", | |
| "description": "Convert spoken language into written text.", | |
| "link": "/audio/speech-recognition/" | |
| }, | |
| { | |
| "name": "Audio Classification", | |
| "description": "Classify audio data into predefined categories.", | |
| "link": "/audio/classification/" | |
| }, | |
| { | |
| "name": "Text To Speech", | |
| "description": "Convert text to spoken language.", | |
| "link": "/audio/text-to-speech/" | |
| }, | |
| { | |
| "name": "Audio To Audio", | |
| "description": "Apply audio processing to transform one audio signal into another.", | |
| "link": "/audio/audio-to-audio/" | |
| } | |
| ] | |
| }, | |
| { | |
| "name": "Computer Vision", | |
| "examples": [ | |
| { | |
| "name": "Image Classification", | |
| "description": "Classify an image into one of several predefined categories.", | |
| "link": "/cv/image-classification/" | |
| }, | |
| { | |
| "name": "Object Detection", | |
| "description": "Detect and classify objects within images.", | |
| "link": "/cv/object-detection/" | |
| }, | |
| { | |
| "name": "Image Segmentation", | |
| "description": "Segment images into component parts.", | |
| "link": "/cv/image-segmentation/" | |
| }, | |
| { | |
| "name": "Text to Image", | |
| "description": "Generate an image from a text description.", | |
| "link": "/cv/text-to-image/" | |
| } | |
| ] | |
| }, | |
| { | |
| "name": "Tabular Data", | |
| "examples": [ | |
| { | |
| "name": "Tabular Regression", | |
| "description": "Perform regression on tabular data to predict numerical values.", | |
| "link": "/tabular/regression/" | |
| }, | |
| { | |
| "name": "Tabular Classification", | |
| "description": "Classify rows of tabular data into predefined categories.", | |
| "link": "/tabular/classification/" | |
| } | |
| ] | |
| } | |
| ] | |
| const app = createApp({ | |
| setup() { | |
| const useCases = ref(UseCases); | |
| return { | |
| useCases, | |
| }; | |
| }, | |
| }); | |
| app.mount("#app"); | |