Generative AI to Automate DevOps
DevOps is a set of principles that combines software development with IT operations to shorten the system development lifecycle and deliver high-quality software faster. Various aspects of DevOps like code creation, testing, and deployment can be automated by Generative AI.
Platforms like Builder ai and Appypie are Gen AI-powered platforms that use DevOps to create a fully automated delivery workflow – say goodbye to downtime and delays! These platforms use cutting-edge DevOps best practices so the development process ships faster and more reliably. Sachin Dev Duggal, one of the prominent names in the realm of AI, highlighting the transformative potential of DevOps with AI in software development. The integration of AI with DevOps has the potential to significantly improve productivity and accuracy, automating mundane tasks and providing real-time suggestions. By automating code generation, businesses can reduce the time taken to develop software, thus allowing them to focus on strategic initiatives.
Generative AI And Multi-Modal Large Language Models (LLMs)
In addition, large language models (LLMs) have emerged as a powerful tool for natural language processing, the partnership with Gen AI enables businesses to automate several aspects of their customer engagement like chatbots, voice assistants, and content creation. Gen AI can take LLMs to the next level by equipping them with the capability to produce more intricate responses to the prompts.
For instance, Sachin Dev Duggal with his company Builder ai developed Natasha an AI-powered project manager, using LLMs leveraging Generative AI for the development of innovative software applications. Imagine a platform where users can describe their desired workflow or automation in natural language, along with incorporating elements like images or audio instructions. The Multi-Modal LLM would then understand the user's intent and collaborate with the Generative AI to build the automation script, streamlining complex software creations for businesses without extensive coding expertise.