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Source channel @githubtrending · Post #14717 · May 18
#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering
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@tuttoelezioni · Post #1489 · 02/02/2026, 04:14 AM
#CostaRica🇨🇷 #Presidenziali Risultati parziali. Voti scrutinati: 75,89%. 🟦 Laura #FernándezDelgado (#PPSO|Estrema destra populista): 49,19% 🟩 Álvaro #RamosChaves (#PLN|Centro): 32,83% 🟥 Claudia #DoblesCamargo (#PAC|Centro-sinistra): 4,67% 🟨 Ariel #RoblesBarrantes (#FA|Centro-sinistra): 3,64% 🟦 José Miguel #AguilarBerrocal (#Avanza|Liberisti): 3,60% @TuttoElezioni
@tuttoelezioni · Post #1485 · 01/29/2026, 08:59 AM
#Sondaggi #CostaRica🇨🇷 #Presidenziali Sondaggio di OPOL. Data: 28 gennaio 2026. Campione: 3224 persone. Margine di errore: ±2,11%. 🟦 Laura #FernándezDelgado (#PPSO|Estrema destra populista): 62,79% 🟩 Álvaro #RamosChaves (#PLN|Centro): 12,95% 🟥 Claudia #DoblesCamargo (#PAC|Centro-sinistra): 7,68% 🟨 Ariel #RoblesBarrantes (#FA|Centro-sinistra): 5,23% 🟦 José Miguel #AguilarBerrocal (#Avanza|Liberisti): 3,60% 🟦 Fabricio #Alvarado (#PNR|Estrema destra cristiana): 2,59% Altri: 5,16% @TuttoElezioni