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Natural Language Processing (NLP) has come a long way in recent years, with groundbreaking advancements in understanding and generating human language. From Recurrent Neural Networks (RNNs) to Transformer architectures like BERT and GPT, NLP models h...
💡 Abstract— Mental health challenges are on the rise in our modern society, and the imperative to address mental disorders, especially regarding anxiety, depression, and suicidal thoughts, underscores the need for effective interventions. This paper...
👋 Introduction Machine learning models in the present day use gigantic amounts of training data to train them. Be it LLMs or NLPs, they have to be constantly trained to tackle real-world problems. These models are so complex that it is difficult for...
In recent years, along with the blooming of Machine Learning (ML)-based applications and services, ensuring data privacy and security have become a critical obligation. ML-based service providers not only confront with difficulties in collecting and ...
Get to know how word embeddings turn words into numbers, helping AI make sense of language.
👋 Introduction Ever Wondered What’s Behind ChatGPT, DALL-E, or Other Generative AI and Machine Learning Models Used Today? All of these cutting-edge technologies are based on neural networks. After all, deep learning is built upon neural networks, s...
