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Arthur DANJOU
05963bb605
- Created a new article on "Understanding AI Agents, LLMs, and RAG" detailing the synergy between AI agents, LLMs, and Retrieval-Augmented Generation. - Added an introductory article on "What is Machine Learning?" covering types, model selection, workflow, and evaluation metrics. chore: setup ESLint and Nuxt configuration - Added ESLint configuration for code quality. - Initialized Nuxt configuration with various modules and settings for the application. chore: initialize package.json and TypeScript configuration - Created package.json for dependency management and scripts. - Added TypeScript configuration for the project. feat: implement API endpoints for activity and stats - Developed API endpoint to fetch user activity from Lanyard. - Created a stats endpoint to retrieve Wakatime coding statistics with caching. feat: add various assets and images - Included multiple images and assets for articles and projects. - Added placeholder files to maintain directory structure. refactor: define types for chat, lanyard, time, and wakatime - Created TypeScript types for chat messages, Lanyard activities, time formatting, and Wakatime statistics.
10 lines
594 B
JSON
10 lines
594 B
JSON
{
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"name": "Apple iPad Air",
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"description": {
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"en": "I use my iPad to read books, watch movies, and browse the web, but also to take notes and write some equations during my math classes.",
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"fr": "J'utilise mon iPad pour lire des livres, regarder des films et naviguer sur le web, mais aussi pour prendre des notes et écrire des équations pendant mes cours de mathématiques.",
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"es": "Utilizo mi iPad para leer libros, ver películas y navegar por internet, pero también para coger apuntes y escribir ecuaciones en mis clases de matemáticas."
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},
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"category": "hardware"
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}
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