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Machine learning is transforming business processes by automating tasks that would be impossible for humans to perform. It’s also helping to solve critical challenges such as reducing costs and increasing revenue growth. ML models can also mitigate business risks and provide valuable insights for decision-making. This includes identifying potential pandemic outbreaks, personalizing medical diagnoses, improving

Natural Language Processing (NLP) advances human-computer interaction by enabling machines to comprehend and process human language. NLP is used in everything from speech recognition to search engines. NLP tasks include tokenization, lemmatization and stemming, part-of-speech tagging, parsing, and semantic tasks like entity recognition and identification of possible semantic relationships. Education Educational institutions are staring for

Generative AI models can automate routine content creation, freeing up time for human teams to focus on strategy and creativity. These capabilities have numerous benefits, including cost savings. However, the quality of generated content can be impacted by biases in training data. Models can inherit and proliferate gender, racial and cultural stereotypes and even spread