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Ever wondered how AI models like GPT-4 generate human-like responses? In this episode, we break down the mechanics behind large language models (LLMs)—how they learn from vast amounts of text, how they are fine-tuned to become useful assistants, and how they improve through reinforcement learning. We’ll also explore how these models avoid mistakes (or "hallucinations"), how they use tools, and where you can access them today. Plus, we’ll dive into what the future holds for AI and how it’s shaping the world.
Ever wondered how AI models like GPT-4 generate human-like responses? In this episode, we break down the mechanics behind large language models (LLMs)—how they learn from vast amounts of text, how they are fine-tuned to become useful assistants, and how they improve through reinforcement learning. We’ll also explore how these models avoid mistakes (or "hallucinations"), how they use tools, and where you can access them today. Plus, we’ll dive into what the future holds for AI and how it’s shaping the world.