transformer architecture

Generative AI Fundamentals - Acharjo - Academic Use - Artificial Intelligence (AI) - AI, ML & Data Science

How ChatGPT and Large Language Models Simulate Thinking: 🧠 Thought Generation in AI and NLP

November 30, 2022 - By Kinshuk Dutta

The Moment the World Realized AI Could “Think” It’s just before midnight on November 30, 2022, and something extraordinary is unfolding. ChatGPT was released to the public earlier today, and like many across the world, I’ve spent hours interacting with it—testing its reasoning, pushing its boundaries, and watching it respond with an uncanny sense of logic, memory, and conversational flow. This very day made something abundantly clear: Machines can now simulate thought—with startling fluency. If you’ve followed my earlier explorations on AI vs ML vs DL or Tokenization in NLP, you’ve seen how machines learn and process language. But today’s…

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Large Language Models - Natural Language Processing (NLP)

Tracing the Evolution from Neural Networks to Transformers and the Rise of LLMs in Modern NLP: 🧠 From Syntax to Semantics: How Neural Networks Empower NLP and Large Language Models

October 15, 2021 - By Kinshuk Dutta

In 2019, we explored the foundations of neural networks—how layers of interconnected nodes mimic the human brain to extract patterns from data. Since then, one area where neural networks have truly transformed the landscape is Natural Language Processing (NLP). What was once rule-based and statistical has now evolved into something more fluid, contextual, and surprisingly human-like—thanks to Large Language Models (LLMs) built atop deep neural architectures. We touched upon this topic in early 2020 in our blog 🧠 Understanding the Correlation Between NLP and LLMs lets keep momentum and try understand Neural Networks empowers NLP and LLM. The NLP Challenge:…

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