AWS Machine Learning Blog

FEBRUARY 20, 2024

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.

Metadata 98

Metadata Auto-complete Machine Learning Deep Learning 98

John Snow Labs

FEBRUARY 21, 2024

pretrained(checkpointName, "en", "clinical/ocr").setInputCols(["image","regionEmpty"]).setOutputCol("detected_text").setBorderWidth(10).setUseGPU(True).setUseCaching(True).setOutputFormat(OcrOutputFormat.TEXT) pretrained("image_text_detector_opt", "en", "clinical/ocr").setInputCol("image").setOutputCol("detected_regions").setWithRefiner(False)

NLP 52

NLP Explainability ML 52

AWS Machine Learning Blog

JUNE 7, 2023

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).

Large Language Models 67

Large Language Models BERT Deep Learning Neural Network 67

John Snow Labs

SEPTEMBER 25, 2023

2023-08-20 14:17:23|426776| + --+ + -+ --+ -+ + For handle big files (2 and more GB) need to use path as input instead of content. pretrained("image_text_detector_v2", "en", "clinical/ocr").setInputCol("image").setOutputCol("regions").setScoreThreshold(0.5).setTextThreshold(0.2).setSizeThreshold(10)

NLP 52

NLP ML 52

AWS Machine Learning Blog

SEPTEMBER 6, 2023

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

Auto-complete 100

Auto-complete Machine Learning ML Python 100