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Understanding BERT, GPT, T5, and LLaMA

Teacher: Alright, now let’s meet some of the superstars in the AI world—BERT, GPT, T5, and LLaMA! 🤖

BERT (Bidirectional Encoder Representations from Transformers)

• Reads text both forward and backward (bidirectional).

• Great for understanding meaning and context (used in search engines like Google!).

• Example Task: "Fill in the blanks"

  • Input: "I went to the ___ to buy some bread."

  • BERT predicts: "store" / "bakery"

GPT (Generative Pre-trained Transformer)

• Reads text from left to right (autoregressive).

• Used for text generation (like ChatGPT!).

• Example Task: "Write the next sentence."

  • Input: "Once upon a time, there was a kingdom..."

  • GPT predicts: "...where a brave knight set out on a quest."

T5 (Text-to-Text Transfer Transformer)

• Converts everything into a text-to-text problem.

• Example Task:

  • Summarization:

    • Input: "The weather is very sunny, with clear skies and a high temperature of 30°C."

    • T5 Output: "Sunny and warm weather."

LLaMA (Large Language Model Meta AI)

• Built by Meta (Facebook) for research purposes.

• Similar to GPT, but designed to be efficient and optimized for different tasks.

💡 Think of these models as different superheroes with different strengths! 🦸‍♂️

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