kaal:claim:4855607-009

In the legal domain the adoption of transformer based language models is blocked less by capability than by resources and access: training and deployment are resource intensive and large, quality tagged legal datasets are usually restricted.

Source quote, verbatim
In the legal domain, training and deploying Transformer-based Language Models (TLMs) is resource-intensive, and access to large, quality-tagged legal datasets is often restricted, hindering widespread adoption.
From

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024), Model Overview: Transformer AI, p. 21
https://ssrn.com/abstract=4855607 · source PDF

Cite as

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

Holds when
Classification

failuresupport: evidencedfailure: Restricted legal dataset accessfamily: ai-model-and-training-failureai-and-agentslaw-and-legal-systemsempirical-evidence

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