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.
Alternative Architectures & Research Frontiers
- Yann LeCun proposes Joint Embedding Predictive Architecture (JEPA) as a successor paradigm to overcome inherent LLM limitations.
- JEPA prioritizes predictive coding in latent spaces over next-token prediction, aiming for superior world modeling, efficiency, and reasoning.
- Analysis of LeCun’s critique and JEPA framework: Yann LeCun’s JEPA Proposal: A Path Beyond LLMs
Related Notes
- 2026 04 10 Multimodal AI Concepts Approaches and Data Processing by LLMs
- 2026 04 10 Multimodal AI Concepts Approaches and Data Processing