Read it for free — Here

I'm sure many of you must have heard about LLM somewhere!

Well, here's the introduction of LLM that you didnt ask but clearly need.

So, Where do LLM(Large language model)really come from?? they come from specifically Transformer neural network.(Which was introduced in a famous research paper "Attention is all you need")

Now, What are LLM(Large language model)?? They are simply program that understand and generate human language. Also, the "large" in LLm refers to the model size and size of dataset.

One of the most famous ai assistant is an LLM — ChatGPT(A chatbot powered by GPT- Generative Pre-trained Transformer)

And What exactly goes on with LLM?

LLm are trained on vast dataset that allows them to capture deeper contextual information, which results in imporved performace in various tasks such as text translation, sentiment analysis, question answer-ing, and many more.

They use Tranformers which allows them to pay selective attention to the different parts of input when making a prediction.

Since LLM arecapable of generating texts, they are referred to as "Generative AI"

None
LLMs represent a specific application of deep learning techniques, using their ability to process and generate human-like text

Now that we know the basics of LLM, let's look at the application of LLM

Applications of LLMs

Machine Translation

  • Translating text between different languages (e.g., English to Hindi)

Text Generation

  • Writing new content like stories, poems, articles, or essays
  • Generating computer code (e.g., Python, JavaScript)

Sentiment Analysis

  • Detecting emotions or opinions in text (e.g., positive, negative, neutral)

Text Summarization

  • Creating short summaries of long documents or articles

Chatbots & Virtual Assistants

  • Powering conversational tools like ChatGPT and Google Gemini
  • Answering questions naturally like a human

Search Augmentation

  • Enhancing traditional search engines (e.g., Google, Bing) with intelligent answers

Knowledge Retrieval in Specialized Fields

  • Extracting and summarizing useful information from legal or medical documents
  • Answering technical questions from large databases or text sets

Content Creation

  • Writing fiction, news articles, blogs, emails, and more

Programming Help

  • Suggesting, writing, or debugging code automatically

Next I'll be talking about "Stages of building an LLM".Stayed Tuned ;)

I hope you atleast got the gist of it, If you have any query, Shoot me an mail at

dhanashreebansode416@gmail.com

or send a DM at:

https://www.linkedin.com/in/dhanashree2311

"👏R&quo; is always appreciated :)

Ciao!