Textual Intelligence

1Introduction: Overview of Generative AI and Multifaceted Applications, Significance, and Potential of LLMs

K. Mukheja, S. Mittal*, C. Monga and S. Annam

Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

Abstract

Large language models (LLM) are a type of artificial intelligence that have become powerful tools for many tasks, including natural language processing (NLP), machine translation, and question–answering. Artificial intelligence (AI) comes in many forms, such as generative AIs, autoregressive models, etc. LLMs like RoBERT, Gopher, and BERT have been widely recognized for their innovations, leading to their global popularity and acceptance. They can generate new text, code, and images, but how they perform is largely dependent on signals and context. LLMs are classified as neural network models due to their large scope and overall structure. The real-time uses of LLMs include deliberation based on ethical models which biases implement ability computational resource requirements. Our main goal is to check, gain knowledge, and test language-based models in different areas. Generative AI applications are real-world applications and carrying out of the systems like formation of matters for search-engine operations (SEO) which focus on real-time challenges. Also, there are systems called foundational models that can give output in and across many domains in a flexible manner.

Keywords: Large language models (LLM), natural language ...