Nagesh Chature

  Generative AI 👇:       Let’s start with the concept of Generative AI. This is more than a fashionable buzzword. It is a form of artificial intelligence in which algorithms generate data instead of just analyzing it. GenAI makes it possible to create new content, ranging from text to images, videos, speech and even music. It can thus achieve realistic and personal interactions between humans and machines. Several specific examples of Generative AI is used for: Question Answer Systems Summarizing the text Language Translation Chatbot Let's Explore in detail :    ✓ Historical Context    ✓ Introduction to Transformers    ✓ Why Transformers    ✓ Explaining Transformer's Components    ✓ How GPT-1 is Trained from Scratch Historical Context: Before 2013 era , Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled t...

👋Here , We are going to learn about LLMs and  how its working on Text data.          ✍Key points to discuss: What is a Model? What is a Language Modeling? What is LLMs? Applications of Language Models? Language Modeling techniques? 👉Knowing this above, its very easy to build the LLMs and make its  application. What is a Model? In short ,  a model in the context of artificial intelligence is a mathematical representation learned from data that enables predictions or simulations of real-word phenomena. A model in a artificial intelligence is a learned representation of data that enables predictions or simulation. It learns from input data by adjusting internal parameters, aiming to minimize the difference between predicted and actual outcomes. Once trained ,it can make predictions on unseen data. Models vary in complexity and type, based on applying different tasks algorithms, this algorithm plays vital role. Evaluation measures models performance...