is a method of managing and provisioning computing infrastructure through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools. It's a key practice in DevOps and is used in conjunction with continuous delivery. IaC allows developers to automate the process of setting up and managing infrastructure, which can lead to faster deployment times, more efficient use of resources, and more reliable and repeatable processes. It can be used to manage a wide range of services, including networks, virtual machines, load balancers, and connection topology. Source: GitHub Copilot
model or program that generates text by “predicting” the next token in a sequence. These models are trained on massive datasets, requiring substantial parallel computing resources, such as GPUs, to process and learn from the vast amounts of text data..” “Developers can interact with the LLM by providing prompts or instructions, such as ‘ChatGPT, you are a developer…’ followed by a specific code generation request. The LLM then generates code snippets or functions based on the given prompt.”
on. Terraform and IaC tools are relatively new …..That means the dataset the model was trained on (mostly from GitHub) is sparse. But most of all, most companies don't put their infra code on GitHub for security reasons. So the encoding space for this kind of code is sparse….” https://www.anyshift.io/blog/navigating-ai-in-your-infrastructure-dos-don-ts-and-why-it-matters
isn't publicly disclosed. However, GPT-4 was trained on a diverse dataset that includes a significant amount of code from various sources, including public repositories on GitHub. This extensive dataset helps the model understand and generate code effectively.” https://github.blog/news-insights/octoverse/octoverse-2024/