Building production-ready LLM-powered applications

The way AI-powered apps are built has changed:

Before LLMs, an idea would bottleneck on training models from scratch, and then it'd bottleneck again on scalable deployment.

Now, a compelling MVP based on pretrained LLM models and APIs can be configured and serving users in an hour.

An entirely new ecosystem of techniques, tools, and tool vendors is forming around LLMs. Even ML veterans are scrambling to orient themselves to what is now possible and figure out the most productive techniques and tools.

​In this course, we'll teach you how to build AI-powered applications from scratch, while following the best practices that will allow you to balance shipping quickly with building high-quality, production-ready applications your users trust.

We'll walk you through a structured approach to AI app development loosely based on the test-driven development methodology used in traditional software engineering.

More: https://www.scale.bythebay.io/llm-wor...