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AI / Apache Burr Interview questions

What is Parallelism used for in Burr?

Parallelism lets a single Burr action expand into many actions or subgraphs that run concurrently and are then joined back into one result — a map-reduce pattern applied to state machines.

Common use cases include trying several prompts against the same LLM, trying the same prompt against several different LLMs, running multiple retrieval tools (e.g. semantic search and web search) at once, or doing a full cartesian product of prompts and models. Burr offers a higher-level API (MapStates, MapActions, MapActionsAndStates) for the common cases, and a lower-level task-based API for full control.

Burr’s parallelism model is best described as:
Which of these is a real example use case for Burr’s parallelism API?

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What is Apache Burr? What is the purpose of Burr’s ApplicationBuilder? What are the core building blocks of a Burr application? Define an Action in Burr? What are the two ways to define an Action in Burr? Describe the State object in Burr? What are the common State mutation methods in Burr? What is a Transition in Burr? List the built-in condition functions Burr provides for transitions? What is the purpose of the default condition in with_transitions? How do you set up Burr to run its tracking UI locally? What is the Burr UI used for? What are Projects, Applications, and Steps in Burr’s tracking model? How do you use runtime inputs in a Burr action? What is the purpose of the bind method on a Burr action? Define State Persistence in Burr? What are app_id and partition_key used for in Burr? What is a Streaming Action in Burr? What is Typing State in Burr? Describe what Hooks do in Burr? What is Parallelism used for in Burr? What are Recursive Applications in Burr? Why is Burr’s State object immutable? How does Burr decide which transition to follow when multiple conditions could match? What is the difference between step and iterate in a Burr Application? What is the difference between halt_before and halt_after? When should you use the class-based Action API instead of the function-based one? What is the difference between binding a value to an action and passing it as a runtime input? Why should you tag actions instead of just using their names? How does Burr’s state persistence resume an application at the point it left off? What is Forking State, and when would you use it? Why do Burr’s persister classes follow the b_ naming prefix convention? Why should you use a state persister as a context manager? How does the Burr UI’s tracking client double as a state loader for local development? Explain the execution flow of a streaming action from the first yield to the last? What is the difference between the intermediate yields and the final yield in a streaming action? How do you consume results from a StreamingResultContainer? What is the difference between application-level and action-level typing in Burr? Why would you combine application-level and action-level typing in the same Burr app? Explain the lifecycle of a hook during a single Burr action execution? When should you write a custom hook instead of relying on with_tracker? What is the difference between MapStates and MapActions in Burr’s parallelism API? What is MapActionsAndStates used for? How does the reduce method work in Burr’s parallel actions? When would you choose a RunnableGraph over a single action for a parallel branch? How can you optimize parallel Burr actions using a custom executor? How does tracking get linked between a parent application and a sub-application? Why is Apache Burr currently going through Apache Incubation, and what does that mean for production use? What is the difference between Apache Burr and LangGraph? How do you troubleshoot a Burr application that halts without reaching a specified halt condition?
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