Category: A.I.

DocRes is a new model that simplifies document image restoration by handling five tasks: dewarping, deshadowing, appearance enhancement, deblurring, and binarization within a single system.

https://github.com/zzzhang-jx/docres

https://www.linkedin.com/posts/tobias-zwingmann_meta-facebook-just-spent-over-100000000-activity-7187500623704076288-_vbG

Meta is the only Big Tech company committed to developing AI, particularly large language models, with an open-source approach.

There are 3 ways you can use Llama 3 for your business:

1- Llama 3 as a Service
Use Llama 3 from any cloud provider as a service. You pay by use, but the price is typically much cheaper than proprietary models like GPT-4 or Claude.
→ Use Llama 3 on Azure AI catalog:
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/introducing-meta-llama-3-models-on-azure-ai-model-catalog/ba-p/4117144

2- Self-Hosting
If you have GPU infrastructure (on-premises or cloud), you can run Llama 3 internally at your desired scale.
→ Deploy Llama 3 on Amazon SageMaker:
https://www.philschmid.de/sagemaker-llama3

3- Desktop (Offline)
Tools like Ollama allow you to run the small model offline on consumer hardware like current MacBooks.
→ Tutorial for Mac:
https://ollama.com/blog/llama3

https://hara012.github.io/MaGRITTe-project/

https://viggle.ai/

https://codemagnet.in/2024/04/16/python-face-recognition-system-full-tutorial/

https://blog.adobe.com/en/publish/2024/04/15/bringing-gen-ai-to-video-editing-workflows-adobe-premiere-pro

https://realmdreamer.github.io/

https://realmdreamer.github.io/pdf/realmdreamer.pdf

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https://github.com/stitionai/devika

https://github.com/nalaso/devika/tree/main