| Autor: |
Borchmann, Łukasz, Pietruszka, Michał, Jaśkowski, Wojciech, Jurkiewicz, Dawid, Halama, Piotr, Józiak, Paweł, Garncarek, Łukasz, Liskowski, Paweł, Szyndler, Karolina, Gretkowski, Andrzej, Ołtusek, Julita, Nowakowska, Gabriela, Zawłocki, Artur, Duhr, Łukasz, Dyda, Paweł, Turski, Michał |
| Rok vydání: |
2024 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| Popis: |
The vast portion of workloads employing LLMs involves answering questions grounded on PDF or scan content. We introduce the Arctic-TILT achieving accuracy on par with models 1000$\times$ its size on these use cases. It can be fine-tuned and deployed on a single 24GB GPU, lowering operational costs while processing Visually Rich Documents with up to 400k tokens. The model establishes state-of-the-art results on seven diverse Document Understanding benchmarks, as well as provides reliable confidence scores and quick inference, which are essential for processing files in large-scale or time-sensitive enterprise environments. |
| Databáze: |
arXiv |
| Externí odkaz: |
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