Towards AI

MARCH 3, 2024

Deploy the Docker image to your production environment (here Render, can be GCP, AWS, AZURE instance). Here, the username refers to your Docker Hub username, image-name is the name of your image, and tag is an optional version identifier for the image. Your app is live, accessible via a URL, and ready for its audience.

Data Science 111

Data Science Python Data Scientist Algorithm 111

John Snow Labs

AUGUST 7, 2023

Editing, Tagging, and Exporting The NLP Lab integration delivers the generated texts in a dedicated UI that allows users to review, edit, and tag them in place. This ensures that the generated data aligns well with the project’s specific goals and criteria.

NLP 52

NLP ChatGPT Data Scientist Natural Language Processing 52

AWS Machine Learning Blog

APRIL 18, 2023

The solution consists of the following steps: Create and configure an app on Microsoft Azure Portal and get the authentication credentials. Prerequisites To try out the Amazon Kendra connector for OneDrive, you need the following: A Microsoft Azure account with enough access permissions to set up an OAuth 2.0 data source.

Machine Learning 70

Machine Learning Software Development ML Artificial Intelligence 70

Towards AI

JULY 20, 2023

Tasks it supports: Commonsense Reasoning Language Modeling Machine Translation Paraphrase Question Answering Sentiment Analysis Sequence Tagging Text Summarization tofunlp/lineflow LineFlow is a simple text dataset loader for NLP deep learning tasks. You can store images as big as 100k by 100k!

NLP 88

NLP Deep Learning Data Analysis Natural Language Processing 88

Mlearning.ai

JUNE 1, 2023

Audio Classification is a machine learning task that involves identifying and tagging audio signals into different classes or categories. Hyperparameter tuning - To improve the current model, I would utilize hyperparameter tuning jobs using AWS/Azure, since they offer parallel runs and early stopping functionality.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Machine Learning 52

Snorkel AI

JUNE 12, 2023

classification, tagging, extraction). Tulia Plumettaz, Director of Machine Learning, Wayfair – Diginomica “Snorkel AI’s new foundation model platform has the potential to significantly enhance how Azure customers build, fine-tune, and apply large language models across their business.

Data Platform 145

Data Platform Large Language Models Software Development ChatGPT 145

Snorkel AI

JUNE 12, 2023

classification, tagging, extraction). Tulia Plumettaz, Director of Machine Learning, Wayfair – Diginomica “Snorkel AI’s new foundation model platform has the potential to significantly enhance how Azure customers build, fine-tune, and apply large language models across their business.

Data Platform 141

Data Platform Large Language Models Software Development ChatGPT 141

AWS Machine Learning Blog

MAY 18, 2023

Configure optional encryption settings and tags. Enter optional tags. These details can be accessed on the App registrations page on the Azure portal, if the SharePoi­nt Online application is already registered. For Index name , enter a name for the index (for example, my-sharepoint-index ). Enter an optional description.

IDP 76

IDP ML Metadata Categorization 76

Mlearning.ai

FEBRUARY 17, 2023

It works with many platforms such as Databrick, Azure, and AWS. MLflow tracking steps Set where your run data is recorded (tracking URI) Create an experiment Start run Log parameters/metrics/artifacts, add tags Let’s see where your run data is recorded. Add tags to run. It can be scaled to big data. It is open-source.

Machine Learning 52

Machine Learning Python Auto-complete Data Science 52

ODSC - Open Data Science

JANUARY 29, 2024

Spacy: Another firm favorite, Spacy can be used for tokenization, part-of-speech tagging, and named entity recognition, aiding in structuring prompts accurately. While AWS is usually the winner when it comes to data science and machine learning, it’s Microsoft Azure that’s taking the lead for prompt engineering job descriptions.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

The MLOps Blog

MARCH 20, 2023

Tools such as AWS S3, Google Cloud Storage, and Microsoft Azure offer robust recovery solutions allowing data snapshots to be recovered at a specific time. Read more How to Version and Compare Datasets in neptune.ai Features / Considerations DVC MLflow Databricks Weights & Biases DagsHub neptune.ai

ML 59

ML Data Drift Machine Learning Algorithm 59

Mlearning.ai

APRIL 1, 2023

", ) my_training_data_test = Input( type=AssetTypes.MLTABLE, path=" /test/", description="Dataset for NASA Turbofan Testing", tags={"source_type": "web", "source": "Kaggle ML Repo"}, version="1.0.0", py38-cpu/versions/4 #azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1

Responsible AI 40

Responsible AI AI AI ML 40

The MLOps Blog

JANUARY 25, 2023

For example, “I love being ignored” may be tagged as a negative example, and “I can be very ambitious” can be tagged as a positive example. You can also prepare a dictionary of words and tag them into different classes so that humans labeling the data will have uniformity in the annotation.

BERT 52

BERT Natural Language Processing ML Deep Learning 52

The MLOps Blog

NOVEMBER 30, 2022

Different tools: Your repository consists of multiple tools, libraries, and infrastructure providers like Azure, AWS, and GCP. DVC’s UI | Source: DVC Supports a wide range of storage systems including but not limited to Amazon S3, Azure Blob Storage, Google Drive, Google Cloud Storage, etc.

ML 52

ML Metadata Machine Learning Software Development 52

John Snow Labs

JUNE 8, 2023

Another valuable feature introduced in this release is the ability to add tags directly from the Labeling Screen, allowing for better categorization and management of labeled tasks. Tags definition on the Labeling Screen NLP Lab 4.10 introduces an enhanced tags feature for tasks, that can now be specified from the Labeling page.

NLP 52

NLP Categorization 52

Snorkel AI

MARCH 30, 2023

Sequence tagging experience upgrade. NER made easy with sequence tagging We’ve made significant performance improvements (up to 20x faster) for data-centric exploration and labeling when working with sequence tagging tasks. Programmatic labeling with support for complex tasks and data types. PDF extraction improvements.

Auto-classification 98

Auto-classification ML Automation ChatGPT 98

Flipboard

MARCH 22, 2023

With this new feature, you can use your own identity provider (IdP) such as Okta , Azure AD , or Ping Federate to connect to Snowflake via Data Wrangler. For Azure AD, you must also specify a unique identifier for the scope. In the Tags section, add a tag with the key SageMaker and value true. Choose Next. Choose Next.

IDP 100

IDP Data Scientist Categorization Data Quality 100

John Snow Labs

OCTOBER 12, 2023

In this release, we’ve focused on simplifying model sharing, making advanced features more accessible with FREE access to Zero-shot NER prompting, streamlining the annotation process with completions and predictions merging, and introducing Azure Blob backup integration. This feature plays a crucial role in disaster recovery planning.

NLP 52

NLP Auto-complete Auto-classification Prompt Engineer 52

Viso.ai

MARCH 29, 2024

You can also use Amazon S3 and Azure Blob Storage. Enables deployment in various environments like REST API model serving, Spark UDFs, and cloud-managed serving platforms like Amazon SageMaker and Azure ML. Can have tags for tracking attributes (e.g., Example: “task” tag for identifying question-answering models.

Machine Learning 52

Machine Learning ML Automation Data Scientist 52

John Snow Labs

MAY 22, 2023

After thorough research of an annotation tool for text content, they chose NLP Lab, because of its out-of-the-box pre-annotation features that allow automatic annotation of travel reviews with entities, relations, or sentiment tags. Using the code view where you can add a label using a <Label/> tag.

NLP 52

NLP Explainability 52

deepsense.ai

MAY 26, 2023

For example, in the case of OpenAI API payment depends on the number of tokens required by an input and output (neural networks require input paragraphs and sentences split into small processable units called tokens), but on the other hand Azure charges by the inference time, counting how many minutes your requests take.

OpenAI 52

OpenAI Neural Network Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

MARCH 3, 2023

Log in to the Azure portal using your global admin user account and choose Next. On the Azure welcome page, choose App registrations. Configure optional encryption settings and tags. Let’s gather those in advance. Enter your password and choose Sign in. Choose New registration. Enter an optional description. Choose Next.

Metadata 71

Metadata ML Machine Learning AI 71

Revolutions

SEPTEMBER 27, 2021

We describe how to incorporate Microsoft365R and interactive authentication with Azure Active Directory (AAD) into a Shiny web app. The following pages at the AAD documentation will be helpful: A step-by-step guide to registering an app in the Azure portal. How to set permissions for an app. add_methods.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

During this orchestration flow, an Azure Active Directory (AD) group for the data analytics team is provisioned with the AD group name corresponding to the domain name. These tags also help track associated costs for the domain. For more information, refer to Actions, resources, and condition keys for Amazon SageMaker.

Data Scientist 102

Data Scientist DevOps AI AI 102

Flipboard

OCTOBER 9, 2023

AWS , GCP , Azure , DigitalOcean , etc.) Additionally, the -t (or --tag ) flag is used to give a nametag to your image. Using the -t flag allows you to tag your build with a name that can be used to reference it later. You can use Docker to create, handle, manipulate, and run containers on your system locally.

Machine Learning 116

Machine Learning Computer Vision Deep Learning Python 116

Mlearning.ai

SEPTEMBER 4, 2023

4] Private instances: Microsoft Azure provides a private instance of ChatGPT. According to Microsoft, prompts (inputs) and completions (outputs), embeddings, and training data are not available to other customers or to improve any products or services such as OpenAI models, Microsoft Azure, or any other 3rd party.[5],[6]

Generative AI 52

Generative AI Large Language Models AI AI 52

Machine Learning World

MARCH 13, 2019

Docker Swarm not only orchestration engine that exist, there are also Kubernets, AWS ECS, Azure Container Service, Google Container Engine, and else. In out first case we use python image with tag 3.7.2-alpine3.9. For big production application i recommend to use Kubernets. RUN  — running a command.

DevOps 52

DevOps Python Machine Learning 52

The MLOps Blog

JUNE 27, 2023

Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks. There are a few open-source and paid solutions that have exploded in usage by data and software teams over the past few years.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

AWS Machine Learning Blog

JANUARY 25, 2024

In a channel, users can ask Amazon Q business expert questions in a new message, or tag it in an existing thread at any point, to provide additional data points, resolve a debate, or summarize the conversation and capture the next steps. You can also invite Amazon Q business expert to participate in your Teams channels.

Generative AI 118

Generative AI Software Engineer Metadata Software Development 118

The MLOps Blog

OCTOBER 3, 2023

For example, you can use BigQuery , AWS , or Azure. They just need to kind of tag things like “Hey, by the way, we’re using these data sources. It’s almost like a specialized data processing and storage solution. And if you want to use different inference stores, you have that option. We’re creating these features.

ML 52

ML Data Scientist Machine Learning Data Science 52

IBM Journey to AI blog

AUGUST 3, 2023

Guardium supports deployment on several cloud platforms, including Amazon AWS, Google, IBM Cloud, Microsoft Azure and Oracle OCI. The results of the analytics are processed through the Guardium Insights risk-scoring engine and tagged with a high-, medium- or low-risk score based on the type of anomaly uncovered.

Natural Language Processing 156

Natural Language Processing Data Discovery Automation Big Data 156

The MLOps Blog

MARCH 21, 2023

Depending on the organization, they are either pure software engineers or simply tagged “DevOps engineers” (or IT engineers). Solution Your data scientists need to add contextual labels or tags to their training data so that they can use it as a target for their experiments. My Story DevOps Engineers Who they are?

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69