RESEARCH INTERNSHIP / RETRIEVAL-AUGMENTED GENERATION
Problem
Retrieve changing e-commerce offers without repeatedly fine-tuning a language model.
Approach
A memory-efficient offers-retrieval system using retrieval-augmented generation.
Results
The existing project account reports 24× cost efficiency compared with its fine-tuning baseline.
My contribution
Research internship implementing the offers-retrieval system.
01Offer information
02Retrieval
03Grounded response
Project account: Build, Learn, Repeat. Metrics describe the internship evaluation, not a general benchmark.
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