Part 3/15:
Fast forward to today, large-scale language models (LLMs) like ChatGPT are built on neural architectures that feature billions of artificial neurons—175 billion in the case of GPT-3—all processing input signals through successive layers with weighted connections and activation functions like the sigmoid. These models are a direct descendant of the initial neural network theories but scaled immensely with advances in hardware and data.