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Artificial Intelligence (AI) has changed the way businesses operate in that it allows them to automate complicated procedures, make informed decisions, and improve customer experiences. Keeping up with the latest trends and best practices in this fast-evolving field can be challenging for companies. This blog will delve into some of the key trends in AI including Generative AI for automating DevOps, software development, supply chain, and multi-modal large language models.
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.
Transformer models and recurrent neural networks (RNNs) are used to generate code, test scripts, and debugging tools. One of the pioneers in this domain, Builder AI, co-founded by Sachin Dev Duggal, uses RNN models to automate the software development process. Besides, the models can learn from existing codes and generate new codes that adhere to best practices and improve coding standards.
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