In this episode of Nate’s Notebook, we dive into the cutting-edge world of Transformers and multimodal large language models (LLMs). Generated by Google’s AI tool NotebookLM, this podcast explores how these revolutionary models are transforming the AI landscape across text, images, and even audio. Transformers, known for their self-attention mechanisms, are the backbone of AI tools like ChatGPT, powering everything from text generation to complex tasks like machine translation and visual question answering.
We’ll break down the rise of multimodal LLMs, where AI models process different types of data—text, images, and audio—simultaneously. Learn about early and late fusion techniques, how multimodal systems achieve a deeper understanding of context, and the incredible potential for applications like image captioning and text-to-image generation.
Join us as we look toward 2025 and the evolving role of these models in shaping the future of AI. Nate’s Notebook is your go-to podcast for AI insights, by AI, hosted by Nate Jones and generated entirely by AI.
Nate's Notebook 12: Multimodal Transformers and 2025