The barriers to AI engineering are rapidly disappearing as tools improve. Building an AI application boils down to models, prompts, knowledge, integrations, tests, and deployment. By leveraging existing DevOps tools like Git and CI/CD pipelines, developers can create production-ready AI applications. The use of open-source models ensures data privacy and compliance with regulations such as GDPR. The key is an “AISpec” YAML file that streamlines the process. With a complete reference architecture and tutorial provided, anyone familiar with version control and deployment workflows can succeed in AI engineering. This shift towards accessibility and solid engineering practices is revolutionizing the field. Check out aispec.org for more information.
https://blog.helix.ml/p/we-can-all-be-ai-engineers