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Multimodality in LLMs: Understanding its Power and Impact

Data Science Dojo

In the context of Artificial Intelligence (AI), a modality refers to a specific type or form of data that can be processed and understood by AI models. Images : This involves visual data, including photographs, drawings, and any kind of visual representation in digital form. How it Works?

AI 367
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Multimodality in LLMs: Understanding its Power and Impact

Data Science Dojo

In the context of Artificial Intelligence (AI), a modality refers to a specific type or form of data that can be processed and understood by AI models. Primary modalities commonly involved in AI include: Text : This includes any form of written language, such as articles, books, social media posts, and other textual data.

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Credit Card Fraud Detection Using Spectral Clustering

PyImageSearch

Machine Learning Methods Machine learning methods ( Figure 7 ) can be divided into supervised, unsupervised, and semi-supervised learning techniques. Figure 7: Machine learning methods for identifying outliers or anomalies (source : Turing ). We will start by setting up libraries and data preparation.

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Continual Learning: Methods and Application

The MLOps Blog

However, if architectural or memory-based approaches are available, the regularization-based techniques are widely used in many continual learning problems more as quickly delivered baselines rather than final solutions. There is no incremental training and no continual learning.

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Supervised vs Unsupervised Learning: Key Differences

How to Learn Machine Learning

At the core of machine learning, two primary learning techniques drive these innovations. These are known as supervised learning and unsupervised learning. Supervised learning and unsupervised learning differ in how they process data and extract insights.