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🎥 Welcome to "What is LLM?" I'm Shwetha from MicroDegree, and in this video, we’ll uncover the fascinating world of Large Language Models (LLMs)! 🧠 LLMs are advanced AI models that can think and respond like humans by analyzing vast amounts of data and using neural networks to predict and generate text. ✍️ From tools like ChatGPT to writing helpers like Grammarly, LLMs are everywhere! We'll explore where they’re used and how they work behind the scenes. 📊 You'll also learn the difference between programming and training an LLM and discover what makes them successful, like data, architecture, and training. 🔍 This video is perfect for anyone curious about how LLMs are changing our world! Don’t forget to like 👍, subscribe 🔔, and share your thoughts in the comments! 💬 Let’s dive into the amazing world of LLMs together! 🌟

🎥 ನಮಸ್ಕಾರ! ನಾನು Shwetha, "What is LLM?" ವೀಡಿಯೋಗೆ ನಿಮಗೆ ಸ್ವಾಗತ! 😊 ಈ ವೀಡಿಯೋದಲ್ಲಿ, Large Language Models (LLMs) ಅಂದರೆ ಏನು ಮತ್ತು ಅವು ಹೇಗೆ ಕೆಲಸ ಮಾಡುತ್ತವೆ ಎಂಬುದನ್ನು ನಾನು ನಿಮಗೆ ವಿವರಿಸುತ್ತೇನೆ. 🧠 LLMs ಅನ್ನುವವು ದೊಡ್ಡ data sets ಅನ್ನು ವಿಶ್ಲೇಷಿಸಿ, neural networks ಬಳಸಿ, prediction ಮಾಡುತ್ತವೆ ಮತ್ತು text generation ನಂತಹ ಕಾರ್ಯಗಳನ್ನು ನಿರ್ವಹಿಸುತ್ತವೆ. ✍️ ನಾವು LLMs ಗಳು ಎಲ್ಲೆಲ್ಲಿಗೆ ಬಳಸಲ್ಪಡುತ್ತವೆ ಎಂಬುದನ್ನು ತಿಳಿದುಕೊಳ್ಳೋಣ — ChatGPT ಮುಂತಾದ tools ಗಳಿಂದ, Grammarly ಬರೆದುದಕ್ಕೆ ಸಹಾಯ ಮಾಡುವ apps ಗಳವರೆಗೆ! 📊 ನಾವು programming ಮತ್ತು training LLMs ನಡುವಿನ ವ್ಯತ್ಯಾಸಗಳನ್ನೂ, data, architecture, ಮತ್ತು training ಮುಂತಾದವುಗಳು LLMs ಗೆ ಯಶಸ್ವಿಯಾಗಲು ಹೇಗೆ ಅವಶ್ಯಕವಾಗಿವೆ ಎಂಬುದನ್ನೂ ತಿಳಿಯುತ್ತೇವೆ. 🔍 ಈ ವೀಡಿಯೋ LLMs ಬಗ್ಗೆ ಮೂಲಭೂತ ತಿಳಿವಳಿಕೆ ಬೇಕಾದವರು, ಅಂದರೆ ಹೊಸಬರು, ಎಲ್ಲಾ ಕೇಳುವವರಿಗೆ ಪರಿಪೂರ್ಣ! 🌟 Like 👍, subscribe 🔔 ಮಾಡಿ, ಮತ್ತು ನಿಮ್ಮ ಅಭಿಪ್ರಾಯಗಳನ್ನು comments ನಲ್ಲಿ ಹಂಚಿಕೊಳ್ಳಿ! 💬


Let's begin by understanding what an LLM is and how it mimics human thought processes to generate responses and perform tasks. Just like humans, LLMs learn and think using patterns in data, making them a unique type of AI. 🤖

LLMs are powered by an important concept called the Neural Network, which is inspired by the human brain. 🧬 These networks help LLMs understand and interpret data in structured patterns, enabling them to generate meaningful responses. We'll explore how neural networks are the backbone of LLMs and why they’re so crucial in AI development. 🌐

Next, we'll look at where LLMs are applied in the real world. From providing writing suggestions in tools like Grammarly ✍️ to generating human-like conversations in ChatGPT 💬, LLMs are transforming how we interact with technology!

We’ll also explore the difference between training an LLM and traditional programming. While programming involves giving direct instructions to a machine, training an LLM requires feeding it large datasets to help it learn and predict outcomes. 📊

For an LLM to succeed, it relies on three main factors: Data, Architecture, and Training. 📚 The data comes from diverse sources, and the model becomes smarter through continuous fine-tuning. 🛠️

By the end of this video, you’ll understand the core concepts of LLMs, how they work, and where they are applied in our daily lives. Ready to explore the world of LLMs? Let’s get started! 🚀

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