group: model-efficiency-compression title: “LLMs”

LLMs

Large Language Models (LLMs) are a subset of Artificial Intelligence trained on massive datasets to understand, interpret, and generate human-like language.

Multimodal Capabilities

  • Evolution from text-centric models toward multimodal-ai.
  • Modality refers to distinct data types processed by the model, including:
    • text
    • images
    • audio
    • lidar
    • thermal imaging
  • Multimodal models are distinguished by their capacity to both ingest and generate content across these multiple data modalities.
  • 2026 04 10 Multimodal AI Concepts Approaches and Data Processing by LLMs
  • 2026 04 10 Multimodal AI Concepts Approaches and Data Processing by LLMs

Agentic & Reasoning Advancements

Summary

The video, presented by Martin Keen of IBM, introduces and explains the concept of Multimodal AI. It begins by defining “modality” in the context of AI as a data modality, referring to different types of data such as text, images, audio, lidar, and thermal imaging. Multimodal AI models are distinguished by their ability to ingest and/or generate content across these multiple data modalities.

  • 2026 04 10 Multimodal AI Concepts Approaches and Data Processing by LLMs

Anthropic

Source Notes