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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
732 B
JSON
10 lines
732 B
JSON
{
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"name": "Apple AirPods Pro",
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"description": {
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"en": "Probably my most used item after my phone and laptop. I use them for everything from listening to music to taking calls. They are super convenient and the sound quality is great.",
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"fr": "Probablement l'objet que j'utilise le plus après mon téléphone et mon ordinateur portable. Je les utilise pour tout, de l'écoute de musique à la prise d'appels. Ils sont super pratiques et la qualité sonore est excellente.",
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"es": "Probablemente el objeto que más utilizo después de mi móvil y mi portátil. Los utilizo para todo, para escuchar música y contentar llamadas. Son súper prácticos y la calidad sonora es excelente."
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},
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"category": "hardware"
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}
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