50. Multimodal Large Language Models: Input Encoding & Joint Reasoning Explained In Hindi
About this lesson
Discover the inner workings of Multimodal Large Language Models (LLMs) and how they bridge the gap between different data types. In this video, we break down the unified architecture that allows AI to process and reason over text, images, and audio simultaneously. In this video, you will learn: Input Encoding: How Vision Transformers and Audio Spectrograms convert raw data into numerical embeddings. Feature Alignment: The secret to mapping "cat" (text) and a photo of a cat into a shared embedding space. Cross-Modal Attention: How models focus on specific visual regions or audio cues based on your prompt. Joint Reasoning: The process of combining multi-source data to generate accurate, context-aware responses. Whether you are an AI researcher or a curious learner, this breakdown of multimodal architecture will give you a clear understanding of the next frontier in Generative AI.
DeepCamp AI