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.

100
Duration
16s
Input Tokens
89704
Output Tokens
528
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 (model name) used to drive context retrieval in the SWOT analysis of Reddit S-1 done by the Opper team was **openai/o1-mini**.

According to the blog post, the Opper team used o1-mini specifically to generate subquestions that would drive the context retrieval process. The model was used to create a list of relevant subquestions that would help answer the main question about providing a data-driven SWOT analysis of Reddit with emphasis on impact from AI. These subquestions were then used to retrieve relevant segments from the Reddit S1 filing PDF using the Opper SDK, with each subquestion retrieving knowledge that would collectively inform the comprehensive SWOT analysis.