AWS Machine Learning

OCTOBER 4, 2022

Developers usually test their processing and training scripts locally, but the pipelines themselves are typically tested in the cloud. Writing the scripts to transform the data is typically an iterative process, where fast feedback loops are important to speed up development. Build your pipeline.

Scripts 72

Scripts Engineering Management APIs 72

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. Popular uses include generating marketing copy, powering chatbots, and text summarization.

Healthcare 74

Healthcare APIs Scripts Engineering 74

AWS Machine Learning

SEPTEMBER 9, 2022

When the message is received by the SQS queue, it triggers the AWS Lambda function to make an API call to the Amp catalog service. Lambda enabled the team to create lightweight functions to run API calls and perform data transformations.

Analytics 69

Analytics Engineering APIs Metrics 69

AWS Machine Learning

AUGUST 11, 2022

Additionally, it’s challenging to construct a streaming data pipeline that can feed incoming events to a GNN real-time serving API. It starts from a RESTful API that queries the graph database in Neptune to extract the subgraph related to an incoming transaction. The code used in this solution is available in src/scripts/glue-etl.py.

Construction 83

Construction APIs Accountability Scripts 83

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. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language.

Scripts 122

Scripts APIs Engineering Construction 122

Jon Arnold

OCTOBER 28, 2019

At face value, that definitely solves today’s problems, and these cloud providers may have little inclination to move out of that comfort zone. Another example would be using APIs to customize applications quickly and easily, such as IVR scripts or time-sensitive notifications.

Healthcare 40

Healthcare voip APIs Scripts 40

AWS Machine Learning

JULY 8, 2022

Many data scientists prefer to use this web-based IDE for developing the ML code, quickly debugging the library API, and getting things running with a small sample of data to validate the training script. The Dockerfile used for the Docker build, which contains all dependencies and the training code. The dependencies.

Best practices 79

Best practices Scripts Construction Management 79

AWS Machine Learning

SEPTEMBER 1, 2023

Generative AI definitions and differences to MLOps In classic ML, the preceding combination of people, processes, and technology can help you productize your ML use cases. Some models may be trained on diverse text datasets like internet data, coding scripts, instructions, or human feedback. 15K available FM reference Step 1.

Engineering 102

Engineering Accountability Construction APIs 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. base.py – The abstract method definition that each client requires to implement their inference method.

Engineering 79

Engineering Accountability APIs Metrics 79

OctopusTech

AUGUST 18, 2023

Learn the details of professional custom website development, from its definition to its importance, here in this blog. Back-end developers work with libraries, data architecture, APIs, code that interacts with databases, and more because they are interested in how a website operates. What Is Custom Web Development?

Construction 62

Construction Engineering APIs Enterprise 62

AWS Machine Learning

APRIL 29, 2024

This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

APIs 98

APIs Engineering Scripts Management 98

AWS Machine Learning

JANUARY 26, 2024

Organizational resiliency draws on and extends the definition of resiliency in the AWS Well-Architected Framework to include and prepare for the ability of an organization to recover from disruptions.

Best practices 122

Best practices Government Engineering Accountability 122

LiveChat

JANUARY 21, 2016

You will need to select which LiveChat account you want to use and provide your LiveChat’s API key. If you tend to have a lot of chats with customers who show buying signals but need more time or a small push, I imagine it would be definitely worth it to spend the $20 to get the leads. Test the live chat leads capturing methods.

Scripts 39

Scripts APIs Accountability Marketing 39

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 99

Scripts APIs Government Construction 99

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). Adds an IAM authorizer.

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

NOVEMBER 22, 2023

Amazon Bedrock is a fully managed service that offers an easy-to-use API for accessing foundation models for text, image, and embedding. Amazon Location offers an API for maps, places, and routing with data provided by trusted third parties such as Esri, HERE, Grab, and OpenStreetMap. Point function requires importing shapely library.

APIs 92

APIs Scripts Engineering Accountability 92

AWS Machine Learning

AUGUST 17, 2023

Option B: Use a SageMaker Processing job with Spark In this option, we use a SageMaker Processing job with a Spark script to load the original dataset from Amazon Redshift, perform feature engineering, and ingest the data into SageMaker Feature Store. The environment preparation process may take some time to complete.

APIs 74

APIs Engineering Scripts Analytics 74

JustCall

APRIL 9, 2024

Definitely, a power-packed combination. Custom integrations and workflow automation with public API. On-screen scripts for live calls. Deliver personalized interactions with tailored scripts. Offer superior support with scripts and call tagging. Prioritizes high-definition audio and noise cancellation.

voip 40

voip Sales Scripts CRM 40

JustCall

FEBRUARY 20, 2024

Let’s dive in and learn why JustCall is probably (definitely) the better option for you. JustCall is easier to integrate: JustCall boasts 100+ integrations for CRMs , webhooks, or APIs, offering seamless compatibility with various business tools. There are also many other important differences between the two (i.e.,

Sales 52

Sales APIs Scripts Analytics 52

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. file in the workspace directory contains scripts to load and save a PyTorch model. client(service_name="sagemaker") runtime_sm_client = boto3.client("sagemaker-runtime")

APIs 82

APIs Scripts Engineering Accountability 82

AWS Machine Learning

APRIL 12, 2023

The code to invoke the pipeline script is available in the Studio notebooks, and we can change the hyperparameters and input/output when invoking the pipeline. This is quite different from our earlier method where we had all the parameters hard coded within the scripts and all the processes were inextricably linked. cpu-py39-ubuntu20.04-sagemaker",

Scripts 80

Scripts APIs Metrics Best practices 80

Nexmo

FEBRUARY 27, 2020

Copy these values to.env as follows: NEXMO_API_KEY="YOUR API KEY HERE" NEXMO_API_SECRET="YOUR API SECRET HERE". We must create an application that uses the Voice API and Messages API. To send messages using the Messages API, we need our API Key and API Secret. format(username,api_url) } } } ).json()

APIs 71

APIs Accountability Engineering Scripts 71

AWS Machine Learning

FEBRUARY 20, 2023

In this post, we provide an overview of how to fine-tune the Stable Diffusion model in two ways: programmatically through JumpStart APIs available in the SageMaker Python SDK , and JumpStart’s user interface (UI) in Amazon SageMaker Studio. Fine-tuning large models like Stable Diffusion usually requires you to provide training scripts.

Scripts 79

Scripts APIs Entertainment Construction 79

Balto

NOVEMBER 2, 2023

While these tools have definitely contributed to better customer experiences, fully relying on them can backfire. It starts with a simple server API server request, and since most softphone systems offer native APIs or features, we’re able to customize the integrations for your enterprise.

contact center solutions 52

contact center solutions Enterprise Contact Center Agent burnout 52

AWS Machine Learning

SEPTEMBER 22, 2022

Today, we’re excited to announce the new synchronous API for targeted sentiment in Amazon Comprehend, which provides a granular understanding of the sentiments associated with specific entities in input documents. The Targeted Sentiment API provides the sentiment towards each entity.

APIs 66

APIs Contact Center Feedback Analytics 66

AWS Machine Learning

OCTOBER 19, 2022

The definitions of low and high depend on the application, but common practice suggests that scores beyond three standard deviations from the mean score are considered anomalous. JumpStart solutions are not available in SageMaker notebook instances, and you can’t access them through SageMaker APIs or the AWS Command Line Interface (AWS CLI).

APIs 66

APIs Metrics Calibration Accountability 66

AWS Machine Learning

FEBRUARY 6, 2023

The JumpStart APIs allow you to programmatically deploy and fine-tune a vast selection of pre-trained models on your own datasets. These features remove the heavy lifting from each step of the ML process, making it easier to develop high-quality models and reducing time to deployment.

APIs 71

APIs Scripts Metrics Benchmark 71

AWS Machine Learning

MAY 8, 2023

To use TensorRT as a backend for Triton Inference Server, you need to create a TensorRT engine from your trained model using the TensorRT API. 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. script from the following cell.

Engineering 83

Engineering APIs Best practices Scripts 83

SmartKarrot

JANUARY 6, 2022

But, before that, let us look at the definition of conversation intelligence. It identifies calls that need immediate attention by finding out things like customer objection, mention of a competitor, compliance gap or script deviation, etc. What is conversation intelligence? Salient features.

Coaching 10

Coaching SaaS Benchmark Feedback 10

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 81

APIs Scripts Best practices Enterprise 81

AWS Machine Learning

JULY 14, 2022

We begin by creating an S3 bucket where we store the script for our AWS Glue streaming job. Run the following command in your terminal to create a new bucket: aws s3api create-bucket --bucket sample-script-bucket-$RANDOM --region us-east-1. s3://sample-script-bucket-30232/glue_streaming/app.py.

Engineering 76

Engineering Scripts APIs Finance 76

AWS Machine Learning

FEBRUARY 12, 2024

Client package development – A client package was developed that acts as a wrapper around SageMaker APIs and the previously existing code. Evaluate – A PySpark processing job evaluates the model using a custom Spark script. This was crucial in ensuring a smooth transition from on-premises to cloud-based processing.

Engineering 109

Engineering Wait times Metrics Accountability 109

AWS Machine Learning

AUGUST 3, 2023

SageMaker MMEs – Multi-model endpoints enable you to host multiple models on a single endpoint, which makes it easy to serve predictions from multiple models using a single API. script containing the training logic: import tarfile import boto3 import os [. script containing the training logic: import tarfile import boto3 import os [.

APIs 78

APIs Scripts SaaS Management 78

AWS Machine Learning

AUGUST 19, 2022

There are many factors you should consider to maximize CPU/GPU utilization when you run your TensorFlow script on SageMaker, such as infrastructure, type of accelerator, distributed training method, data loading method, mixed precision training, and more. SageMaker provisions the infrastructure and runs your script with MPI.

Best practices 71

Best practices APIs Scripts Advertising 71

NobelBiz

APRIL 18, 2021

From pricing, voice quality, and compliance to agent experience, campaign scripting, reporting, and everything in between falls under the jurisdiction of your software and/or telecom provider. But some providers definitely come much closer to this ideal than others. Probably not.

Call Center 52

Call Center call center software Contact Center APIs 52

JustCall

FEBRUARY 28, 2024

And when you think about the range of features the latter offers at $49 per user per month — all 3 dialers, bulk SMS campaigns and workflows, live call monitoring , advanced analytics and reporting, API and webhooks, live call monitoring, and so much more, it is simply astounding. How are JustCall’s Sales Dialer and Mojo Dialer different?

Real estate 52

Real estate CRM APIs Sales 52

AWS Machine Learning

OCTOBER 27, 2022

For more information, refer to Using the SageMaker Python SDK and Using the Low-Level SageMaker APIs. After you have defined the instance groups, you need to modify your training script to read the SageMaker training environment information that includes heterogeneous cluster configuration. The launcher.py

Scripts 69

Scripts Benchmark Metrics Transportation 69