The world of programming is evolving thanks to AI technologies. It is just a matter of time until artificial intelligence entirely replaces human programmers since AI-generated code is getting more accurate. Some could see this negatively, while others think AI will speed up the process of writing better code. In this article, we'll talk about some of the AI tools that are presently accessible to programmers and examine how they're affecting how we create code. Although AI-generated code still needs to be flawless, it is always improving.

One of the most recent advancements in natural language processing (NLP) is the emergence of large language models (LLMs) that are built using vast datasets with enormous amounts of data. There are several LLMs that are available, such as Google's BERT and OpenAI's GPT-2 and GPT-3. With these models, it is possible to generate everything from simple essays to actual financial models with these models. AI startups including OpenAI, Hugging Face, Cohere, AI21 Labs are pushing the boundaries of LLM by training models with billions of parameters. OpenAI Codex is the model based on GPT-3 that powers GitHub Copilot - a tool from GitHub to generate code within mainstream development environments including VS Code, Neovim, JetBrains, and even in the cloud with GitHub Codespaces.