AWS Machine Learning

FEBRUARY 15, 2023

You can fine-tune and deploy JumpStart models using the UI in Amazon SageMaker Studio or using the SageMaker Python SDK extension for JumpStart APIs. This post focuses on how we can implement MLOps with JumpStart models using JumpStart APIs, Amazon SageMaker Pipelines , and Amazon SageMaker Projects. sm_client = boto3.client("sagemaker")

Scripts 80

Scripts APIs Engineering Enterprise 80

AWS Machine Learning

MAY 5, 2023

Using architecture diagrams as an example, the solution needs to search through reference links and technical documents for architecture diagrams and identify the services present. Therefore, users without ML expertise can enjoy the benefits of a custom labels model through an API call, because a significant amount of overhead is reduced.

Engineering 100

Engineering APIs Scripts Enterprise 100

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

AWS Machine Learning

AUGUST 30, 2023

In order to run inference through SageMaker API, make sure to pass the Predictor class. pre_trained_model = Model( image_uri=deploy_image_uri, model_data=pre_trained_model_uri, role=aws_role, predictor_cls=Predictor, name=pre_trained_name, env=large_model_env, ) # Deploy the pre-trained model.

Healthcare 106

Healthcare APIs Scripts Metrics 106

AWS Machine Learning

MAY 25, 2023

We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. We implement a chatbot application in Streamlit which invokes the function via the API Gateway and the function does a similarity search in the OpenSearch Service index for the embeddings of user question.

APIs 75

APIs Enterprise Accountability Chatbots 75

AWS Machine Learning

DECEMBER 29, 2022

Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. However, working with data in the cloud can present challenges, such as the need to remove organizational data silos, maintain security and compliance, and reduce complexity by standardizing tooling. Solution overview.

APIs 99

APIs Engineering Analytics Scripts 99

AWS Machine Learning

AUGUST 3, 2023

Therefore, we present two options: one that doesn’t require any ML expertise and uses Amazon Rekognition, and another that uses Amazon SageMaker to train and deploy a custom ML model. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application. iterdir(): if p_file.suffix == ".pth":

APIs 62

APIs Scripts Engineering Technical Support 62

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 71

Scripts Engineering Management APIs 71

JivoChat

JANUARY 31, 2023

You will learn how to work with text files, obtain real-time information from an API with a simple script, and create pie, bar, line, area, histogram, scatter, regression, and combo charts. The course will give practical exercises and present real-world ecommerce use cases.

Analytics 75

Analytics APIs Scripts Big data 75

Hodusoft

MAY 10, 2024

Virtual call and contact centers have become the new norm in the present time instead of being an optional feature for businesses seeking flexibility in their operations. Personalized Customer Experiences Virtual call center platforms often include features like advanced analytics, customer segmentation, and personalized scripting tools.

virtual call center 52

virtual call center Call Center Contact Center call center software 52

AWS Machine Learning

AUGUST 3, 2023

In the current scenario, you need to dedicate resources to accomplish such tasks using human review and complex scripts. Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can find the model that best suits your requirements.

APIs 74

APIs Banking Enterprise Construction 74

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 82

Construction APIs Accountability Scripts 82

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. We present a case of acute myocardial infarction. Chest pain, anterior MI, PCI.

Healthcare 73

Healthcare APIs Scripts Engineering 73

AWS Machine Learning

AUGUST 3, 2022

For example, you can immediately start detecting entities such as people, places, commercial items, dates, and quantities via the Amazon Comprehend console , AWS Command Line Interface , or Amazon Comprehend APIs. Recall – This indicates the fraction of entities present in the documents that are correctly identified and labeled.

Benchmark 66

Benchmark APIs Metrics Scripts 66

NICE inContact

FEBRUARY 13, 2018

During an interaction, a screen pops up to the agent with relevant customer information, like their name, the selection they made in the IVR, their CRM profile, and maybe even some agent scripting. With good cloud-based contact center solutions, implementing agent screen pops have never been easier.

Contact Center 49

Contact Center Average Handle Time Wait times APIs 49

Jon Arnold

OCTOBER 28, 2019

Shifting from on -premise to cloud means a move from Capex to Opex, and with the core technology hosted in the cloud, the limited IT resources typical for SMBs does not present a barrier to adoption. 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

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 118

Scripts APIs Engineering Construction 118

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 83

Scripts Construction APIs Healthcare 83

Kunnect

MAY 5, 2015

They also offer tools such as word processing, databases, spreadsheets, presentations, invoicing, web conferencing and desktop sharing. Like Salesforce.com, the integration is made possible through Zoho’s application programming interface (API). Dynamic linking – The ability to link to other parts of Zoho.com (i.e.

CRM 48

CRM call center software APIs Call Center 48

AWS Machine Learning

MAY 23, 2024

Despite their computational benefits, training and fine-tuning large MoE models efficiently presents some challenges. The SMP library uses NVIDIA Megatron to implement expert parallelism and support training MoE models, and runs on top of PyTorch Fully Sharded Data Parallel (FSDP) APIs. In this example, we use SageMaker training jobs.

APIs 94

APIs Engineering Scripts Construction 94

AWS Machine Learning

FEBRUARY 19, 2024

Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers. Clone the GitHub repo The solution presented in this post is available in the following GitHub repo. model in Amazon Bedrock.

Chatbots 93

Chatbots APIs Engineering Enterprise 93

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 91

APIs Scripts Entertainment Personalization 91

AWS Machine Learning

DECEMBER 1, 2022

If the state-of-the-art geospatial models provided with SageMaker aren’t enough for our use case, we can also chain the results of any of the preprocessing steps shown so far with any custom model onboarded to SageMaker for inference, as explained in this SageMaker Script Mode example.

Scripts 75

Scripts APIs Management Technology 75

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 94

APIs Engineering Scripts Management 94

AWS Machine Learning

NOVEMBER 30, 2023

You then perform a search against OpenSearch Service with the names and the embedding from the article to retrieve images that are semantically similar with the presence of the given celebrity, if present. The result from the multimodal model scores the images with a scarf present higher.

Scripts 89

Scripts APIs Entertainment Accountability 89

Enghouse Interactive

OCTOBER 21, 2020

Agents will be presented with increasingly more complex situations which will require more engagement, insight and analysis. Adopt automation to make operations more efficient and agents more productive. This will positively impact agent engagement and commitment (and longevity) and the customer experience delivered.

Self service 76

Self service Contact Center Benchmark Chatbots 76

AWS Machine Learning

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

Analytics 96

Analytics APIs Engineering Construction 96

AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. 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 98

Engineering Accountability Construction APIs 98

AWS Machine Learning

JUNE 23, 2023

For data scientists, moving machine learning (ML) models from proof of concept to production often presents a significant challenge. FastAPI is a modern, high-performance web framework for building APIs with Python. It can be cumbersome to manage the process, but with the right tool, you can significantly reduce the required effort.

APIs 85

APIs Scripts Engineering Accountability 85

AWS Machine Learning

APRIL 5, 2024

Gramener’s GeoBox solution empowers users to effortlessly tap into and analyze public geospatial data through its powerful API, enabling seamless integration into existing workflows. With the SearchRasterDataCollection API, SageMaker provides a purpose-built functionality to facilitate the retrieval of satellite imagery.

APIs 98

APIs Engineering Analytics Healthcare 98

AWS Machine Learning

JANUARY 25, 2023

In this post, we provide an overview of how to deploy and run inference with the Stable Diffusion upscaler model in two ways: via JumpStart’s user interface (UI) in Amazon SageMaker Studio , and programmatically through JumpStart APIs available in the SageMaker Python SDK.

APIs 71

APIs Scripts Real estate Entertainment 71

AWS Machine Learning

SEPTEMBER 14, 2023

Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito. The service analyzes the text and identifies any PII entities present within the query. The web application front-end is hosted on AWS Amplify. Confluence, Microsoft SharePoint, Google Drive, Jira, etc.)

APIs 89

APIs Healthcare Scripts Engineering 89

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. Different prompt engineering techniques include: Zero-shot – A single question is presented to the model without any additional clues. create-stack.sh

Scripts 93

Scripts Chatbots Accountability Multi-channel support 93

AWS Machine Learning

APRIL 10, 2023

In this post, we present a comprehensive guide on deploying and running inference using the Stable Diffusion inpainting model in two methods: through JumpStart’s user interface (UI) in Amazon SageMaker Studio , and programmatically through JumpStart APIs available in the SageMaker Python SDK.

APIs 78

APIs Scripts Construction Finance 78

AWS Machine Learning

MAY 22, 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, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Scripts 91

Scripts Engineering Accountability APIs 91

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 94

Scripts APIs Government Construction 94

AWS Machine Learning

AUGUST 29, 2023

The presented MLOps workflow provides a reusable template for managing the ML lifecycle through automation, monitoring, auditability, and scalability, thereby reducing the complexities and costs of maintaining batch inference workloads in production.

Scripts 71

Scripts APIs Enterprise Accountability 71