Choosing the Right LLM in 2026: 8 Architectures That Actually Matter скачать в хорошем качестве

Choosing the Right LLM in 2026: 8 Architectures That Actually Matter

Most people think LLMs are just the same model scaled up or down. In this video, I break down 8 fundamentally different LLM architectures that power modern AI systems, from chatbots and coding assistants to multimodal agents, automation workflows, and edge devices. You’ll learn: Why architecture matters more than benchmarks How GPT, MoE, Vision-Language, Reasoning, and Action models differ Which architectures are best for chat, vision, agents, mobile, and planning How real-world systems combine multiple architectures in production This isn’t theory-only. Each architecture is explained clearly, visually, and practically, so you can actually apply it when building AI products or agents. Join my AI newsletter: https://upaspro.com/newsletter/ More information: https://upaspro.com/8-llm-architectur... 👇 Timestamps: 00:00- Introduction 00:48- Channel welcome 01:20- 1- Generative Pretrain transformer (GPT) 03:12- 2- Mixture of Experts (MoE) 05:36- 3- Large Reasoning Model (LRM) 08:338- 4- Vision-Language Model (VLM) 10:43- 5- Small Language Model (SLM) 13:07- 6- Large Action Model (LAM) 15:15- 7- Hierarchical Language Model (HLM) 17:03- 8- Large Concept Model (LCM) 19:21- Outro #AI #LLM #GenerativeAI #MachineLearning #AIArchitecture #GPT #Agents #MultimodalAI