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Adversarial robustness is dedicated to enhancing the security of machine learning models by making them resilient against malicious attacks. It focuses on creating defense mechanisms
After developing a Machine Learning model, evaluating its performance is crucial to assessing its effectiveness. To objectively compare multiple models, the use of metrics is
In the race for artificial intelligence, the web giant is one of the main challengers. Its formidable weapon is LaMDA. A generative AI tool capable
Machine learning or automatic learning involves gathering a large number of examples in order to determine the underlying patterns, which can then be used to
Artificial intelligences have always hallucinated answers in order to be creative and invent stories. But faced with the popularity of generative artificial intelligence as a
Multimodal Learning is an evolution of Machine Learning, involving the simultaneous use of several data sources such as text, image and audio to solve much
Introduction You’ve probably already heard of Machine Learning being used to predict the price of a house or in the field of sports betting. It
Featuretools is an open source Python library created by Alteryx to automate feature engineering in Machine Learning. Find out everything you need to know about
Reinforcement learning is a Machine Learning method that enables complex tasks to be performed autonomously. The aim of this article is to help you understand
With the proliferation of generative AI tools, mastering the art of writing prompts is proving more than essential. But at the speed at which artificial
ReCall is a Machine Learning approach designed to maximize a model’s sensitivity, even at the expense of its specificity. The aim? To avoid any risk
OpenAI has introduced a feature that allows paying ChatGPT users to add specialist GPTs directly to their conversations. Available from now on, this innovation, called
