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Streamline diarization using AI as an assistive technology: ZOO Digital’s story

AWS Machine Learning

SageMaker asynchronous endpoints support upload sizes up to 1 GB and incorporate auto scaling features that efficiently mitigate traffic spikes and save costs during off-peak times. At the time of writing, using the faster-whisper Large V2 model, the resulting tarball representing the SageMaker model is 3 GB in size.

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PCI Pal Partners With Odigo to Provide Secure Payments

CSM Magazine

” For more information on the new Odigo Connect Marketplace, visit www.odigo.com/en-gb/odigo-partners/odigo-connect/. We are therefore delighted to partner with PCI Pal and offer its state-of-the art payment security solutions, as part of our powerful new Odigo Connect Marketplace.”

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How To Create A Good Lighting System for Your Home Office

Joe Rawlinson

If you’re looking for inspiration or home office supplies, go to www.leitz.com/en-gb/. You can also try rearranging or adding plants and decor so that your desk isn’t the first thing you see when you walk into the room in the morning.

System 15
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Accelerate PyTorch with DeepSpeed to train large language models with Intel Habana Gaudi-based DL1 EC2 instances

AWS Machine Learning

billion-parameter model using the wikicorpus-en dataset. Each dl1.24xlarge instance has eight Habana Gaudi accelerators, each with 32 GB of memory and a full mesh RoCE network between cards with a total bi-directional interconnect bandwidth of 700 Gbps each (see Amazon EC2 DL1 instances Deep Dive for more information).

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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning

Fine-tuning technique Language models such as Llama are more than 10 GB or even 100 GB in size. nnn### Explanation:nWe answer the question with the input's date of birth and the date of death.nnn### Solution: 1102n Response from the fine-tuned model: Félix Luna died on November 5th, 2009.nn

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