====== Generative AI ======

  * **Definition of Generative AI:**Generative AI is a type of artificial intelligence focused on creating content or synthetic data, such as videos, pictures, text, and sound.
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  * **AI and Machine Learning:**AI is a broad field that includes machine learning, which is a subset focusing on algorithms that enable systems to learn from data and make predictions.
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  *** Discriminative vs. Generative Models:** Discriminative models classify or predict specific properties of input data, while generative models create new data that resembles the input data.
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====== LLM (Large Languaje Models) ======


  * **Definition:** Large language models (LLMs) are generative AI models that excel at understanding and generating human-like text based on the input they receive, known as prompts.
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  * **Capabilities:** LLMs can answer questions, solve problems, provide coding and writing assistance, summarize text, and translate languages.
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  * **Training:** They are trained on massive amounts of diverse text data, which helps them capture the nuances of language usage and perform a wide range of tasks effectively.

===== LLM types =====


**Transfer Learning:** Large language models can be trained as general-purpose models and then fine-tuned for specific tasks using transfer learning.

Categories of LLMs:four main categories of large language models:

  *     Generic Language Models: Pre-trained on diverse texts and used with prompt design.
  *     Instruction-Tuned Models: Fine-tuned to generate text based on specific instructions or prompts.
  *     Dialogue-Tuned Models: Designed for interactive conversations and dialogue.
  *     Domain-Specific Models: Fine-tuned for tasks in specific domains like medical text analysis or legal document processing.