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Can AI Really Plan? Evaluating Large Language Models and Reasoning Models
Manage episode 445061542 series 3351512
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Welcome back to IVANCAST Podcast! In this special continuation of our SHIFTERLABS experiment with Google’s Notebook LM, we dive into Part II, focusing on the paper “LLMs Still Can’t Plan; Can LRMs?”. In this episode, two AI hosts analyze how well Large Language Models (LLMs) and the newer Large Reasoning Models (LRMs) handle planning tasks, shedding light on the strengths and limitations of AI in tackling real-world problems. Join us as we explore whether AI can truly plan, and what this means for the future of artificial intelligence. Don’t miss this insightful conversation generated by cutting-edge AI technology!
¡Bienvenidos de nuevo al Podcast! En esta continuación especial del experimento de SHIFTERLABS con el Notebook LM de Google, profundizamos en la Parte II, enfocándonos en el artículo “LLMs Still Can’t Plan; Can LRMs?”. En este episodio, dos anfitriones de IA analizan cómo los Modelos de Lenguaje (LLMs) y los Modelos de Razonamiento (LRMs) abordan tareas de planificación, destacando las fortalezas y limitaciones de la IA para resolver problemas del mundo real. Únete a nosotros mientras exploramos si la IA realmente puede planificar y qué implica esto para el futuro de la inteligencia artificial. ¡No te pierdas esta interesante conversación generada por la tecnología de vanguardia en IA!
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