OpenArch Advances LLM Architecture and Benchmarking
The series follows OpenArch's release of a PyTorch repository that provides readable implementations of large language model architectures, and its subsequent benchmarking of those models for key‑value extraction from noisy OCR documents. The latest episode shows the tools are now being evaluated on real‑world OCR data, marking a move from code release to performance assessment.
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Benchmarking LLMs for Key-Value Extraction in Noisy OCR Documents
Large language models (LLMs) are increasingly used to pull structured data from documents, but how they fare when the text is corrupted by optical‑character‑recognition (OCR) errors is unclear. A…
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OpenArch launches PyTorch repo for readable LLM architecture implementations
A new open-source repository named OpenArch has been released, offering hand-written PyTorch implementations of modern large language model architectures. The project aims to provide clarity and…
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