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What Is NLP and How Does It Affect Your Daily Life (Without You Noticing)?

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What Is NLP and How Does It Affect Your Daily Life Introduction Natural Language Processing, or NLP for short, sounds like something that only computer scientists or AI researchers deal with. But the truth is, NLP is quietly working behind the scenes in your everyday life—often without you even realizing it. From the moment you unlock your phone to the time you scroll through your emails or ask a voice assistant to play your favorite song, NLP is there, helping machines understand and respond to human language. In this blog, we’ll break down what NLP really is, in simple terms, and show you some everyday situations where it’s making your life easier, faster, and sometimes even smarter—without needing you to be a tech expert. What is NLP in simple words Natural Language Processing is a branch of artificial intelligence that helps computers understand, interpret, and respond to human language. Unlike programming languages, which follow strict rules, human language is messy, emotional...
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What are some ethical implications of Large Language models?

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Ethical consideration in LLMs In this article, we're going to address the ethical challenges surrounding the usage of large language models, including potential biases and privacy issues.  Bias in AI system: AI systems, particularly, will deliver biased results. There's no other way to get around it. Search engine technology, for example. It's not neutral, processes a large amount of data, and prioritizes results based on clicks and user preferences. So, a search engine can become essentially an echo chamber. And you can see that it will uphold certain biases of the real world, potentially because looking at the clicks and the user preferences of a majority of users using that search engine. And this is how we can come up with prejudices and stereotypes that are furthered online because of these systems that are in place. So, when we talk about bias in AI, it could be something like as simple as a gender bias, right? So, gender biases should be avoided, but it can't sho...
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Introduction to the fine tuning in Large Language Models

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