How LLMs Work? | How Large Language Models Work | What Are LLMs? | #Shorts | #Simplilearn
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the ai model iceberg 🧊 surface: gpt, claude, gemini below: llama, deepseek, qwen abyss: monadgpt (only speaks like it's the 1600s) cursed: goody-2 (refuses to answer anything), gpt-4chan trench: an llm built in minecraft with 439 million redstone blocks. one answer takes 2 hours 💀 #ai #llm #techtok #techiceberg #fyp
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Fast answers or deeper reasoning? Depends what you’re building. Which matters more for your current AI experiment? Explore your options at freellmapi.co #LLM #BuildWithAI #claudecode
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TikTokfreellmapi
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Google Search and AI are completely different, and understanding how they work changes how you use them. *To be specific: by “AI” here I mean Large Language Models, or LLMs. Google has technically always been AI – its PageRank algorithm, which decides which links to return to you, has always been a form of AI. And yes, Google is now augmented with LLMs. What we’re comparing in this post is traditional Google (using PageRank) and LLMs.* Lets break down the differences in plain English & answer so
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TikTokharpercarrollai
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Nobody ever wrote the code that lets ChatGPT write Python. Not one line of it. 🤯 Here's how a large language model actually gets built, step by step: 1️⃣ Data. Trillions of words of books, web pages, code and forums, then cleaned: duplicates removed, spam filtered, broken text stripped. One open dataset, FineWeb, is 15 trillion tokens of web text. 2️⃣ Tokens. The model never sees words.
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