Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...
Despite advances, AI models continue to be geared towards the needs of English-speaking people in high-income countries.
Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.
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What are small language models and how do they differ from large ones?
Microsoft just released its latest small language model that can operate directly on the user's computer. If you haven't ...
A similar update is coming to Amazon SageMaker AI, which is a more advanced AI machine learning platform that allows ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...
Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...
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Approximate domain unlearning: Enabling safer and more controllable vision-language models
Vision-language model (VLM) is a core technology of modern artificial intelligence (AI), and it can be used to represent ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
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