Category: AI
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Rethinking Intelligence Through Abstraction and Alignment In the age of neural networks and generative models, it’s easy to believe we’ve captured the essence of human…
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I remember the first time I saw a machine write a story. It was beautiful—haunting, even (those were the days of MSN bot and Tay).…
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In the realm of Natural Language Processing (NLP), learning meaningful word representations is foundational. But training models to understand language at scale often runs into…
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In the world of Natural Language Processing (NLP), how we represent words fundamentally shapes how machines understand language. From early breakthroughs like Word2Vec and GloVe…
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In my earlier post here, I had introduced the concept of DCRE. This is a deep dive for those interested to know more on the…
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In the fast-evolving world of deep learning, two frameworks dominate the landscape: TensorFlow and PyTorch. Whether you’re a researcher building cutting-edge models or an engineer…
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In the world of machine learning, neural networks are often described as systems that mimic the human brain. But what gives these networks their intelligence?…
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Some victories arrive without fanfare. No headlines. No alarms. Just a quiet moment, a subtle shift, a trace of drift arrested mid-breath. That’s how it…
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In the vast landscape of file extensions—where .txt stores plain text, .py signals Python scripts, and .json organizes structured data—the .why extension emerges as something…
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In an era where AI models aren’t just crunching numbers but whispering intent, shaping decisions, and simulating empathy, security can no longer be an afterthought.…
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