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Carl Froggett, CIO of Deep Instinct – Interview Series

Unite.AI

Carl Froggett, is the Chief Information Officer (CIO) of Deep Instinct , an enterprise founded on a simple premise: that deep learning , an advanced subset of AI, could be applied to cybersecurity to prevent more threats, faster. We’ve entered a pivotal time, one that requires organizations to fight AI with AI.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?

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Managing Computer Vision Projects with Micha? Tadeusiak 

The MLOps Blog

Obviously, different technologies are using what, for most of the time, deep learning, so different skills. This is more about picking, for some active learning or for knowing where the data comes from and knowing the metadata to focus on the data that are the most relevant to start with. It was data management.

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Host ML models on Amazon SageMaker using Triton: CV model with PyTorch backend

AWS Machine Learning Blog

Each model deployed with Triton requires a configuration file ( config.pbtxt ) that specifies model metadata, such as input and output tensors, model name, and platform. For a list of NVIDIA Triton Deep Learning Containers (DLCs) supported by SageMaker inference, refer to Available Deep Learning Containers Images.

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Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

AWS Machine Learning Blog

Transformer-based language models such as BERT ( Bidirectional Transformers for Language Understanding ) have the ability to capture words or sentences within a bigger context of data, and allow for the classification of the news sentiment given the current state of the world. eks-create.sh This will create one instance of each type.

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How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

AWS Machine Learning Blog

To solve this problem, we make the ML solution auto-deployable with a few configuration changes. The training and inference ETL pipeline creates ML features from the game logs and the player’s metadata stored in Athena tables, and stores the resulting feature data in an Amazon Simple Storage Service (Amazon S3) bucket.

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An Overview of the Top Text Annotation Tools For Natural Language Processing

John Snow Labs

Annotation Tool Brief Overview NLP Lab NLP Lab, formerly known as Annotation Lab , is a robust solution that enables customers to annotate their data and train/tune deep learning models in a simple, fast, and efficient project-based workflow without writing a line of code. – It offers documentation and live demos for ease of use.