Context Reasoning

Answer questions accurately based on a given document or knowledge source — without hallucinating what isn't there. The core skill behind doc Q&A, support bots, and internal knowledge lookup.

Duration

11s

Input Tokens

81444

Output Tokens

572

Cost

$0.12

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 was **o1-mini** (referenced as "openai/o1-mini" in the Opper platform).

According to the blog post, the Opper team used o1-mini to generate subquestions that drove the context retrieval process. As stated in the post: "We used o1-mini to generate subquestions that will drive the context retrieval."

The pipeline had two main steps:
1. **o1-mini** was used to generate relevant sub-questions for context retrieval from the indexed Reddit S-1 filing PDF
2. **o1-preview** was then used to reason through the retrieved knowledge (~25k words) and produce the final SWOT analysis