• Kernel Methods: Algorithms that transform data into higher dimensions to make it more separable.

L 

• Latent Space: A representation of compressed data capturing underlying features. 

• Langchain: A framework for developing applications powered by language models. 

• LLM: Large Language Model, trained on vast text data to understand and generate human-like language.

M 

• Mixture of Experts: A model architecture where different "experts" handle different parts of the input. 

• Multimodal AI: AI systems that process and integrate multiple types of data, like text and images.

N 

• Neural Radiance Fields: A technique for generating 3D scenes from 2D images using neural networks.

O 

• Objective Function: The function that models aim to optimize during training. 

• One-Shot Learning: Learning from a single example to make accurate predictions.

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