World Models Are Here—But It’s Still the GPT-2 Phase
Jeff Hawke on Continuous Simulation, Interactive Control, Scaling Challenges, and Future Applications. Subscribe: Apple • Spotify • Overcast • Pocket More
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llama-model: read final_logit_softcapping for Gemma 4 ( #21390 ) macOS/iOS: macOS Apple Silicon (arm64) macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (ROCm 7.2) Ubuntu x64 (OpenVINO) Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.1 DLLs Windows x64 (Vulkan) Windows x64 (SYCL) Windows x64 (HIP) openEuler: openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b, ACL Graph)

Understanding digital health technology implementation in rehabilitation and development of the Rehabilitation Technologies Implementation model
npj Digital Medicine, Published online: 04 April 2026; doi:10.1038/s41746-026-02599-1 Understanding digital health technology implementation in rehabilitation and development of the Rehabilitation Technologies Implementation model
![Best OCR for template-based form extraction? [D]](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-robot-hand-JvPW6jsLFTCtkgtb97Kys5.webp)
Best OCR for template-based form extraction? [D]
Hi, I’m working on a school project and I’m currently testing OCR tools for forms. The documents are mostly structured or semi-structured forms, similar to application/registration forms with labeled fields and sections. My idea is that an admin uploads a template of the document first, then a user uploads a completed form, and the system extracts the data from it. After extraction, the user reviews the result, checks if the fields are correct, and edits anything that was read incorrectly. So I’m looking for an OCR/document understanding tool that can work well for template-based extraction, but also has some flexibility in case document layouts change later on. Right now I’m trying Google Document AI , and I’m planning to test PaddleOCR next. I wanted to ask what OCR tools you’d recommend
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b8662
llama-model: read final_logit_softcapping for Gemma 4 ( #21390 ) macOS/iOS: macOS Apple Silicon (arm64) macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (ROCm 7.2) Ubuntu x64 (OpenVINO) Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.1 DLLs Windows x64 (Vulkan) Windows x64 (SYCL) Windows x64 (HIP) openEuler: openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b, ACL Graph)

Understanding digital health technology implementation in rehabilitation and development of the Rehabilitation Technologies Implementation model
npj Digital Medicine, Published online: 04 April 2026; doi:10.1038/s41746-026-02599-1 Understanding digital health technology implementation in rehabilitation and development of the Rehabilitation Technologies Implementation model

Gemma 4 - 4B vs Qwen 3.5 - 9B ?
Hello! anyone tried the 4B Gemma 4 model and the Qwen 3.5 9B model and can tell us their feedback? On the benchmark Qwen seems to be doing better, but I would appreciate any personal experience on the matter Thanks! submitted by /u/No-Mud-1902 [link] [comments]



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