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What is a key advantage of using multi-stage reasoning in Large Language Models (LLMs)?
It reduces the overall computational cost.
Dividing a complex problem into smaller and more manageable tasks.
It eliminates the need for external data sources.
Which framework is commonly used for managing multi-stage reasoning systems in LLMs?
Tensorflow
PyTorch
LangChain
In the context of multi-stage reasoning with LLMs, what is the primary role of a 'retriever' in a retriever-based chain?
To generate new data based on the initial input.
To retrieve relevant information or documents that can be used in subsequent reasoning stages.
To execute logical operations like AND, OR, and NOT.
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