AWS Machine Learning

JULY 5, 2022

Lifecycle configurations (LCCs) are shell scripts to automate customization for your Studio environments, such as installing JupyterLab extensions, preloading datasets, and setting up source code repositories. LCC scripts are triggered by Studio lifecycle events, such as starting a new Studio notebook. Apply the script (see below).

Scripts 79

Scripts Engineering APIs Consulting 79

Inbenta

SEPTEMBER 4, 2018

After a more recent in-depth review, we’ve outlined the following best practices for securely deployed your AI-based chatbot onto your site. When you do include those external scripts, use a Subresource Integrity with your “ ” or “ ” tags to external sources. Secure your access to RESTful API services.

Chatbots 58

Chatbots APIs Scripts Enterprise 58

Inbenta

SEPTEMBER 4, 2018

After a more recent in-depth review, we’ve outlined the following best practices for securely deployed your AI-based chatbot onto your site. When you do include those external scripts, use a Subresource Integrity with your “< script >” or “< link >” tags to external sources.

Chatbots 40

Chatbots APIs Scripts Enterprise 40

AWS Machine Learning

AUGUST 1, 2023

Furthermore, proprietary models typically come with user-friendly APIs and SDKs, streamlining the integration process with your existing systems and applications. It offers an easy-to-use API and Python SDK, balancing quality and affordability. As a best practice, let’s save our work for future use.

Healthcare 73

Healthcare APIs Scripts Engineering 73

AWS Machine Learning

SEPTEMBER 1, 2023

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively.

Engineering 100

Engineering Accountability Construction APIs 100

AWS Machine Learning

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. System integration – Agents make API calls to integrated company systems to run specific actions.

APIs 118

APIs Scripts Enterprise Management 118

AWS Machine Learning

AUGUST 14, 2023

You can serialize pipelines to YAML files , expose them via a REST API , and scale them flexibly with your workloads, making it easy to move your application from a prototype stage to production. Prerequisites The first thing to do before we can use any AWS services is to make sure we have signed up for and created an AWS account.

Enterprise 68

Enterprise Scripts Best practices Analytics 68

AWS Machine Learning

MARCH 14, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. This is because such tasks require organization-specific data and workflows that typically need custom programming.

Best practices 102

Best practices Engineering Chatbots Enterprise 102

AWS Machine Learning

NOVEMBER 9, 2022

A complete API call from the client is as follows: The client assembles the request and initiates the request to a SageMaker endpoint. The Python script starts the NGINX, Flask, and Triton server. Provide your Region and account ID. role = get_execution_role() sess = sage.Session() account = sess.boto_session.client('sts').get_caller_identity()['Account']

Engineering 78

Engineering Accountability APIs Metrics 78

AWS Machine Learning

APRIL 23, 2024

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. It calls the CreateDataSource and DeleteDataSource APIs. Minimally, you must specify the following properties: Name – Specify a name for the knowledge base.

APIs 97

APIs Enterprise Scripts Accountability 97

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. SageMaker runs the legacy script inside a processing container. SageMaker takes your script, copies your data from Amazon Simple Storage Service (Amazon S3), and then pulls a processing container.

Scripts 120

Scripts APIs Engineering Construction 120

AWS Machine Learning

JANUARY 8, 2024

The first allows you to run a Python script from any server or instance including a Jupyter notebook; this is the quickest way to get started. In the following sections, we first describe the script solution, followed by the AWS CDK construct solution. The following diagram illustrates the sequence of events within the script.

Scripts 86

Scripts Construction APIs Healthcare 86

AWS Machine Learning

MARCH 6, 2023

In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. The post covers all the phases of an LLM training workload and describes associated infrastructure features and best practices. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

Best practices 77

Best practices APIs Transportation Scripts 77

AWS Machine Learning

DECEMBER 22, 2023

Amazon Bedrock is a fully managed service that makes leading FMs from AI companies available through an API along with developer tooling to help build and scale generative AI applications. This memory allows the agent to provide responses that take into account the context of the ongoing conversation.

Scripts 96

Scripts Chatbots Accountability Multi-channel support 96

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM).

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 93

APIs Scripts Entertainment Personalization 93

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. To view the details of these jobs in different accounts, you need to log in to each account, find the corresponding jobs, and look into the status.

Scripts 77

Scripts Accountability Metrics APIs 77

AWS Machine Learning

SEPTEMBER 14, 2023

Unstructured data accounts for 80% of all the data found within organizations, consisting of repositories of manuals, PDFs, FAQs, emails, and other documents that grows daily. Integrating security in our workflow Following the best practices of the Security Pillar of the Well-Architected Framework , Amazon Cognito is used for authentication.

APIs 92

APIs Healthcare Scripts Engineering 92

AWS Machine Learning

SEPTEMBER 1, 2023

Solution overview To get responses streamed back from SageMaker, you can use our new InvokeEndpointWithResponseStream API. To take advantage of the new streaming API, you need to make sure the model container returns the streamed response as chunked encoded data. For details, refer to Creating an AWS account.

APIs 86

APIs Chatbots Engineering Best practices 86

NobelBiz

APRIL 9, 2024

In this comprehensive article, we delve into the details of call center compliance , exploring its significance, the laws and regulations governing it, common mistakes to avoid, and best practices for ensuring adherence. The Health Insurance Portability and Accountability Act (HIPAA), enacted in 1996, fundamentally shapes the U.S.

Call Center 105

Call Center Telemarketing Healthcare Government 105

AWS Machine Learning

SEPTEMBER 18, 2023

Each stage in the ML workflow is broken into discrete steps, with its own script that takes input and output parameters. In the following code, the desired number of actors is passed in as an input argument to the script. Let’s look at sections of the scripts that perform this data preprocessing. get("OfflineStoreConfig").get("S3StorageConfig").get("ResolvedOutputS3Uri")

Scripts 97

Scripts APIs Government Construction 97

AWS Machine Learning

AUGUST 29, 2023

This architecture design represents a multi-account strategy where ML models are built, trained, and registered in a central model registry within a data science development account (which has more controls than a typical application development account).

Scripts 72

Scripts APIs Enterprise Accountability 72

AWS Machine Learning

JUNE 27, 2023

By enabling effective management of the ML lifecycle, MLOps can help account for various alterations in data, models, and concepts that the development of real-time image recognition applications is associated with. At-scale, real-time image recognition is a complex technical problem that also requires the implementation of MLOps.

Engineering 93

Engineering APIs Scripts Entertainment 93

AWS Machine Learning

SEPTEMBER 11, 2023

IaC ensures that customer infrastructure and services are consistent, scalable, and reproducible while following best practices in the area of development operations (DevOps). This is required to communicate with the SageMaker API. SageMaker runtime: com.amazonaws.region.sagemaker.runtime.

Scripts 92

Scripts APIs Management Engineering 92

AWS Machine Learning

MAY 31, 2023

Triton with PyTorch backend The PyTorch backend is designed to run TorchScript models using the PyTorch C++ API. Alternatively, you can use ensemble models or business logic scripting. Prerequisites You first need an AWS account and an AWS Identity and Access Management (IAM) administrator user. We save the model as a model.pt

APIs 81

APIs Scripts Engineering Accountability 81

AWS Machine Learning

JANUARY 6, 2023

To implement this solution, you should have an AWS account , familiarity with OpenSearch Service, SageMaker, Lambda, and AWS CloudFormation , and have completed the steps in Part 1 and Part 2 of this series. Creates an API Gateway that adds an additional layer of security between the web app user interface and Lambda. Prerequisites.

Entertainment 83

Entertainment APIs Scripts Analytics 83

AWS Machine Learning

MAY 3, 2023

Moreover, as of November 2022, Studio supports shared spaces to accelerate real-time collaboration and multiple Amazon SageMaker domains in a single AWS Region for each account. Also, we implemented retry with exponential backoff to handle API throttle for DataSync CreateLocationEfs and CreateTask API calls.

Scripts 60

Scripts APIs Accountability Engineering 60

AWS Machine Learning

MAY 9, 2023

Inference requests arrive at the server via either HTTP/REST or by the C API and are then routed to the appropriate per-model scheduler. SageMaker MMEs offer capabilities for running multiple deep learning or ML models on the GPU at the same time with Triton Inference Server, which has been extended to implement the MME API contract.

APIs 80

APIs Scripts Best practices Enterprise 80

AWS Machine Learning

DECEMBER 14, 2023

After you stop the Space, you can modify its settings using either the UI or API via the updated SageMaker Studio interface and then restart the Space. This setup enables you to centrally store notebooks, scripts, and other project files, accessible across all your SageMaker Studio sessions and instances.

APIs 96

APIs Engineering Management Scripts 96

JivoChat

APRIL 23, 2023

The chatbot had built-in scripts which enabled it to answer questions about a specific subject. This already makes the conversation more personal, but aside from that, the best is that the chatbot can use the customer’s name when talking to them, and give personalized answers based on the messages that are sent. Chatme Plantt.

Chatbots 75

Chatbots B2C Self service Banking 75

JustCall

MARCH 9, 2023

With CI technology, you can rest assured that all (100%) customer interactions are accounted for and recorded, leaving no room for error. AI Scoring In order to gain insights into their performance, each rep receives a scoring on how well they followed their call playbook and how well they adhered to best practices.

Coaching 52

Coaching Sales Chatbots Analytics 52

AWS Machine Learning

MAY 4, 2023

The Neuron runtime consists of kernel driver and C/C++ libraries, which provide APIs to access AWS Inferentia and Trainium Neuron devices. xlarge" ) Refer to Developer Flows for more details on typical development flows of Inf2 on SageMaker with sample scripts. These endpoints are fully managed and support auto scaling.

APIs 76

APIs Scripts Engineering Chatbots 76

AWS Machine Learning

SEPTEMBER 9, 2022

Access to AWS services from Katib and from pipeline pods using the AWS IAM Roles for Service Accounts (IRSA) integration with Kubeflow Profiles. Each project maintained detailed documentation that outlined how each script was used to build the final model. AWS Secrets Manager to protect secrets needed to access your applications.

Engineering 75

Engineering Healthcare APIs Scripts 75

AWS Machine Learning

JUNE 14, 2023

We demonstrate how to use CI/CD the low-code/no-code tools code to integrate it into your MLOps environment, while adhering with MLOps best practices. You can also add your own Python scripts and transformations to customize workflows. Prerequisites This walkthrough includes the following prerequisites: An AWS account.

Best practices 76

Best practices Scripts Engineering Education 76

NobelBiz

JUNE 26, 2023

Learn more about the best practices in contact center staffing, how to increase agent satisfaction & retention, and many more call center human resources tips and tricks. If your human resources department is lagging behind, we encourage you to watch two webinar episodes that can take your game to the next level.

Call Center 52

Call Center Interactive Voice Response call center software CRM 52

Pointillist

JULY 25, 2018

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. During onboarding, the data will remain on your Pointillist-hosted SFTP server until the customer success team has created and quality-checked the requisite ingestion script. Getting Data into Pointillist.

Analytics 93

Analytics Government APIs Metrics 93

AWS Machine Learning

MARCH 19, 2024

However, complex NLQs, such as time series data processing, multi-level aggregation, and pivot or joint table operations, may yield inconsistent Python script accuracy with a zero-shot prompt. The user can use the Amazon Recognition DetectText API to extract text data from these images. setup.sh. (a a challenge-level question).

Construction 112

Construction Scripts APIs Enterprise 112