Atharv Gyan

  Natural Language Processing (NLP)   refers to AI method of communicating with an intelligent systems using a natural language such as English. Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions, when you want to hear decision from a dialogue based clinical expert system, etc.The field of NLP involves making computers to perform useful tasks with the natural languages humans use. The input and output of an NLP system can be Speech Written Text Components of NLP : There are two components of NLP as given − 1. Natural Language Understanding (NLU) Understanding involves the following tasks − Mapping the given input in natural language into useful representations. Analyzing different aspects of the language. 2. Natural Language Generation (NLG) It is the process of producing meaningful phrases and sentences in the form of natural language from some internal representation. It involves − Text planning ...

Large Language Models (LLMs) represent a breakthrough in natural language processing and artificial intelligence. These models are built upon deep learning architectures and are designed to understand, generate, and manipulate human-like text at an impressive scale. One of the prominent examples of LLMs is OpenAI's GPT (Generative Pre-trained Transformer) series, such as GPT-3. Here's an introduction to key aspects of Large Language Models: 1. Scale and Architecture: LLMs like GPT-3 consist of tens or hundreds of billions of parameters, making them among the largest artificial neural networks ever created. They are built on transformer architectures, which allow for efficient processing of sequential data, making them well-suited for handling language tasks. 2. Pre-training and Fine-tuning: LLMs are pre-trained on massive datasets containing parts of the internet, books, and various texts. During pre-training, the model learns the structure and patterns of language without spec...