Five LLM Application Patterns, From Least to Most Autonomy
A practical ladder of LLM patterns on Azure in January 2025: structured outputs, grounded RAG, tool workflows, self-review and agents.
7 articles
A practical ladder of LLM patterns on Azure in January 2025: structured outputs, grounded RAG, tool workflows, self-review and agents.
Real tasks often require iteration: Refinement : Improve output quality through multiple passes Retry : Handle failures with backoff strategies Search :…
Think of your agent as a state machine: Nodes : Processing steps (functions that transform state) Edges : Transitions between steps State : Accumulated…
Designing for scale in Fabric is about decomposition and clear contracts between layers. The medallion architecture works well: small, composable…
Design patterns and best practices for implementing content moderation in AI-powered applications.
Advanced LCEL patterns for building robust, scalable LLM applications in production environments.
The most consequential design decision in a function-calling agent isn't the model you choose — it's how you write the tool definitions. The model selects…