Feb 9 · 9 min read · My daughter recently told me she wanted a gaming PC with an RTX 5070 Ti. She's one year old and doesn't actually speak yet, but I'm pretty sure that's what the crying meant. So I did what any responsible parent would do — I bought one. Then I stared ...
Join discussionJan 26 · 4 min read · Aloha 👽, We learned a little about Large Language Models in our last series chapter, which brought us to the 3 types of LLMs (BERT, GPT, LLaMA). We’ll start with BERT. Let’s get right into it 🤖 It all started with Google Engineers yet again. Jacob ...
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Jan 26 · 4 min read · Comparison of Transformer Variants for Text Classification Text classification is one of the most widely used tasks in natural language processing (NLP), powering applications such as sentiment analysis, spam detection, topic labeling, intent reco...
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Dec 22, 2025 · 5 min read · Have you ever wondered how a computer knows that a cat is more like a dog than a car? To a machine, words are just strings of characters or arbitrary ID numbers. But in the world of Natural Language Processing, we’ve found a way to give words a home ...
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Dec 14, 2025 · 2 min read · Inthe rapidly evolving landscape of Natural Language Processing (NLP), Transformers have emerged as a foundational architecture that revolutionizes how we approach language understanding and generation. This comprehensive guide delves into the intric...
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Nov 24, 2025 · 9 min read · When you're building RAG (Retrieval-Augmented Generation) systems, you can't just hope they work well—you need to measure how well they're performing. Think of it like a health checkup for your AI system. In this post, we'll explore the two critical ...
Join discussionNov 6, 2025 · 5 min read · It was late evening.Riya sat in front of her laptop, staring at lines of text and code.Her model — a simple RNN — had just failed again. She sighed. “Why can’t you understand that ‘it’ refers to ‘the animal’ and not ‘the street’?” Her model didn’t ...
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Nov 6, 2025 · 4 min read · Imagine a child learning to read.At first, they look at every word on the page — slowly, carefully, sometimes losing the meaning of the whole sentence. But as they grow, they start to focus on the right words, understand tone, context, and emotion. T...
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Oct 22, 2025 · 2 min read · 📖 BERT and encoder models transformed Natural Language Processing by enabling AI to truly understand text — not just read it. 1️⃣ What Are Encoder Models? Encoders are the understanding half of the Transformer architecture.While decoders focus on g...
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