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Amalsha
Amalsha

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Large Language Models (LLMs)

πŸš€ Large Language Models (LLMs)

Day 1: What is an LLM?

A Large Language Model (LLM) is a neural network designed to understand, generate, and respond to human-like text. These models are deep neural networks 🧠 trained on massive amounts of text data πŸ“š, enabling them to handle various natural language processing (NLP) tasks.

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Breaking Down Large Language Models:

  • Large: Models with billions of parameters πŸ—οΈ
  • Language Models: Capable of performing a wide range of NLP tasks, including answering questions, translation, sentiment analysis, and much more πŸ”πŸ’¬

LLMs vs. Earlier NLP Models:

  • LLMs: Can handle a broad spectrum of NLP tasks 🎯
  • Earlier NLP Models: Designed for specific tasks like language translation πŸ”„

Earlier models couldn't follow custom instructions like writing an email βœ‰οΈ, something modern LLMs can do with ease! LLMs thrive because of their transformer architecture, allowing them to process and generate human-like text with incredible accuracy ⚑.

Applications of LLMs:

πŸ’¬ Chatbots and virtual assistants

🌍 Machine translation

✍️ Generating new text

❀️ Sentiment analysis

πŸ“ Content creation

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