{"id":5115,"date":"2024-10-10T10:56:46","date_gmt":"2024-10-10T08:56:46","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/projects\/he-assistant\/"},"modified":"2025-10-15T10:24:06","modified_gmt":"2025-10-15T08:24:06","slug":"he-assistant","status":"publish","type":"proyecto","link":"https:\/\/www.mosaicfactor.com\/ca\/projects\/he-assistant\/","title":{"rendered":"HE Assistant"},"content":{"rendered":"

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Eina d\u2019an\u00e0lisi de projectes Horizon Europe<\/p>\n

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Client<\/h2>\n

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El problema<\/h2>\n

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Cada vegada que Mosaic vol redactar una proposta per a un projecte d\u2019Horizon Europe, necessitem trobar tecnologies capdavanteres i projectes en desenvolupament en el nostre \u00e0mbit. A m\u00e9s, la tasca de trobar candidats per al consorci \u00e9s for\u00e7a feixuga. I, tot i que tota la informaci\u00f3 sobre projectes, finan\u00e7ament i participants \u00e9s p\u00fablica, no \u00e9s possible fer cerques personalitzades.<\/p>\n

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La soluci\u00f3<\/h2>\n

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L\u2019objectiu de l\u2019eina \u00e9s retenir coneixement a partir d\u2019un corpus de documents oberts de projectes Horizon Europe.<\/p>\n

Inclou una cerca sem\u00e0ntica per respondre preguntes sobre diferents aspectes dels projectes europeus.<\/p>\n

Aprofitant la creixent popularitat i els aven\u00e7os tecnol\u00f2gics en la Intel\u00b7lig\u00e8ncia Artificial Generativa, la soluci\u00f3 proposa utilitzar Grans Models de Llenguatge (LLMs), com el ChatGPT d\u2019OpenAI, per transformar preguntes en llenguatge natural en consultes personalitzades per a una font de dades.<\/p>\n

Gr\u00e0cies a les capacitats l\u00f2giques d\u2019aquests models, es poden dur a terme cerques complexes de manera autom\u00e0tica, dividint-les en consultes m\u00e9s senzilles fins que s\u2019obt\u00e9 tota la informaci\u00f3 necess\u00e0ria.<\/p>\n