Context Reasoning

Context understanding and reasoning tasks test accurate answers grounded in provided context. This capability is essential for knowledge-base support bots, policy lookup systems, and internal knowledge Q&A applications. Models are evaluated on their ability to provide accurate answers that are properly grounded in the given context rather than hallucinating information.

Duration

16s

Input Tokens

78917

Output Tokens

568

Cost

$0.00

Context

Input

What LLM (model name) was used to drive context retrieval in the SWOT analysis of Reddit S-1 done by the Opper team

Expected output

Openai's o1-mini

Model output

The LLM used to drive context retrieval in the SWOT analysis of Reddit S-1 by the Opper team was **o1-mini** (specifically the "openai/o1-mini" model). This model was used to generate subquestions that drove the context retrieval process, as described in the section "Using o1-mini to drive context retrieval" where they used the model to create a list of subquestions for retrieving relevant segments from the Reddit S1 filing.