Send us a text What if not every part of an AI model needed to think at once? In this episode, we unpack Mixture of Experts, the architecture behind efficient large language models like Mixtral. From conditional computation and sparse activation to routing, load balancing, and the fight against router collapse, we explore how MoE breaks the old link between size and compute. As scaling hits physical and economic limits, could selective intelligence be the next leap toward general intelligence...
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Send us a text What if not every part of an AI model needed to think at once? In this episode, we unpack Mixture of Experts, the architecture behind efficient large language models like Mixtral. From conditional computation and sparse activation to routing, load balancing, and the fight against router collapse, we explore how MoE breaks the old link between size and compute. As scaling hits physical and economic limits, could selective intelligence be the next leap toward general intelligence...
The SLM Advantage: Rethinking Agent Design with SLMs
The Second Brain AI Podcast ✨🧠
20 minutes
4 months ago
The SLM Advantage: Rethinking Agent Design with SLMs
Send us a text In this episode, we explore why Small Language Models (SLMs) are emerging as powerful tools for building agentic AI. From lower costs to smarter design choices, we unpack what makes SLMs uniquely suited for the future of AI agents. Source: "Small Language Models are the Future of Agentic AI" by NVIDIA Research
The Second Brain AI Podcast ✨🧠
Send us a text What if not every part of an AI model needed to think at once? In this episode, we unpack Mixture of Experts, the architecture behind efficient large language models like Mixtral. From conditional computation and sparse activation to routing, load balancing, and the fight against router collapse, we explore how MoE breaks the old link between size and compute. As scaling hits physical and economic limits, could selective intelligence be the next leap toward general intelligence...
