LLM are the heart of modern language AI models.These are responsible for understand input text and generating response.

LLM are built on machine language specifically , a type of neural network called a transformer model.

Many LLM are trained on huge sets of data that has been gathered from the Inertext thousands or millions of gigabyte's worth of text.

LLMs use a type of machine learning called  deep learning in order to understand how character,words and sentences function together.

Deep learning models can essentially train themselves to recognize distinctions without human interaction, although some human fine-tunning is typically necessary.

Deep learning involves the probabilistic analysis of unstructured data , which eventually enables the deep learning model to recognized distinctions between pieces of content without human interactions.

if the information on LLM has ingested is biased,incomplete or otherwise undesirable then the response it gives could be equally  unreliable,biased or even offensive.

LLM vs Generative AI

• Generative AI can generate text,code,image,video and music.
  • eg: midjourney,DALL-E and chatgpt
• LLM are the type of Generative AI that are trained on text and produce textual content,
  • Chatgpt is popular example of generative  text AI.
• All large language model (LLM) are generative AI.