Bilbao AI

Si abordar un proyecto piloto software no es asunto baladí, las complicaciones se multiplican cuando ese piloto trata de introducir IAs generativas en el ámbito de una empresa. bilbao.ai/los-pilotos-ia…

Mafia vs. Simbiosis: Dos estilos de integración de la IA en Educación (bilbao.ai/mafia-vs-simbi…). Dejando aparte el uso brusco de las IAs para conseguir resultados inmediatos y de demasiada buena factura, aunque de dudoso valor, los estudiantes tienen ante sí dos opciones.

I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks, including 10 of 12 popular text and reasoning benchmarks, 9 of 9 image understanding benchmarks, 6 of 6 video understanding benchmarks, and 5 of 5 speech recognition and speech translation benchmarks. Gemini Ultra is the first model to achieve human-expert performance on MMLU across 57 subjects with a score above 90%. It also achieves a new state-of-the-art score of 62.4% on the new MMMU multimodal reasoning benchmark, outperforming the previous best model by more than 5 percentage points. Gemini was built by an awesome team of people from @GoogleDeepMind, @GoogleResearch, and elsewhere at @Google, and is one of the largest science and engineering efforts we’ve ever undertaken. As one of the two overall technical leads of the Gemini effort, along with my colleague @OriolVinyalsML, I am incredibly proud of the whole team, and we’re so excited to be sharing our work with you today! There’s quite a lot of different material about Gemini available, starting with: Main blog post: blog.google/technology/ai/… 60-page technical report authored by th Gemini Team: deepmind.google/gemini/gemini_… In this thread, I’ll walk you through some of the highlights.