Dynajev reportedly runs about 3.5× faster on multi-field schemas
The project's author also reports about 5× throughput and says it learns from examples and can be trained.
TLDR
Could one large language model change its architecture for each question, rather than requiring multiple specialized models to be coordinated? Dynajev's author shares the project as an exploration of that question, claiming about 3.5× faster performance on multi-field schemas and about 5× throughput. They also say it learns from examples and can be trained, adding that they tried training it.
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