AWS Machine Learning

AUGUST 30, 2023

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.

Healthcare 118

Healthcare APIs Metrics Scripts 118

AWS Machine Learning

OCTOBER 2, 2023

With this format, we can easily query the feature store and work with familiar tools like Pandas to construct a dataset to be used for training later. For this we use AWS Step Functions , a serverless workflow service that provides us with API integrations to quickly orchestrate and visualize the steps in our workflow.

Scripts 99

Scripts Construction Engineering APIs 99

Cincom

MAY 8, 2024

Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more. Workflow automation manages optimal deal construction, including automated approvals, version histories, and progress tracking to ensure smooth transitions through each milestone.

Enterprise 52

Enterprise Sales CRM Upselling 52

AWS Machine Learning

MAY 10, 2023

It provides a suite of tools for visualizing training metrics, examining model architectures, exploring embeddings, and more. When they create a SageMaker training job, domain users can use TensorBoard using the SageMaker Python SDK or Boto3 API. x_test / 255.0 x_test / 255.0 x_test / 255.0 strftime("%d-%m-%Y-%H-%M-%S") region = boto3.session.Session().region_name

Scripts 75

Scripts Metrics Construction APIs 75

AWS Machine Learning

MARCH 29, 2023

This solution uses the asynchronous StartDocumentTextDetection API to build the document processing workflow that handles Amazon Textract asynchronous invocation, raw response extraction, and persistence in Amazon Simple Storage Service (Amazon S3). These metrics are used to measure the quality of text extractions.

APIs 71

APIs Construction Metrics Technology 71

AWS Machine Learning

MARCH 28, 2024

You can scrape the filings from EDGAR directly, or use APIs in Amazon SageMaker with a few lines of code, for any period of time and for a large number of tickers (i.e., The primary limitation of TACP lies in constructing task-specific LLMs instead of foundation LLMs, owing to the sole use of unlabeled task data for training.

Finance 103

Finance Metrics Banking Engineering 103

AWS Machine Learning

OCTOBER 12, 2022

Call the Amazon Textract analyze_document API using the Queries feature to extract text from the page. In the sample solution, we call the Amazon Textract analyze_document API query feature to extract fields by asking specific questions. The sample dashboard includes basic metrics. Extract text using an Amazon Textract query.

APIs 84

APIs Construction Metrics Engineering 84

AWS Machine Learning

JULY 24, 2023

A recent initiative is to simplify the difficulty of constructing search expressions by autofilling patent search queries using state-of-the-art text generation models. In this section, we show how to build your own container, deploy your own GPT-2 model, and test with the SageMaker endpoint API. Specifically, Dockerfile and build.sh

APIs 68

APIs Engineering Construction Benchmark 68

AWS Machine Learning

NOVEMBER 21, 2022

Evaluate model performance on the hold-out test data with various evaluation metrics. This notebook demonstrates how to use the JumpStart API for text classification. After the fine-tuning job is complete, we deploy the model, run inference on the hold-out test dataset, and compute evaluation metrics. Text classification.

Scripts 73

Scripts Metrics APIs Healthcare 73

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. If an organization has no AI/ML experts in their team, then an API service might be better suited for them. 15K available FM reference Step 1.

Engineering 110

Engineering Accountability Construction APIs 110

The Northridge Group

MAY 2, 2023

ChatGPT’s state-of-the-art tools make it possible for users to easily construct sophisticated Conversational AI applications quickly and efficiently. It can also be easily integrated via APIs with popular apps such as Slack, Instacart, Snapchat, or Facebook Messenger for easy access across multiple platforms.

Contact Center 67

Contact Center B2C Chatbots B2B 67

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 112

Real estate APIs Metrics Construction 112

AWS Machine Learning

DECEMBER 6, 2022

compute metrics function def compute_metrics(pred): targets = 1 * (pred.label_ids >= 0.5) compute metrics function def compute_metrics(pred): targets = 1 * (pred.label_ids >= 0.5) The Trainer class provides an API for feature-complete training in PyTorch. outputs = 1 * (pred.predictions >= 0.5)

Engineering 75

Engineering APIs Construction Metrics 75

AWS Machine Learning

OCTOBER 5, 2022

We also share the key technical challenges that were solved during construction of the Face-off Probability model. The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics.

Calibration 94

Calibration Engineering Automotive Analytics 94

AWS Machine Learning

AUGUST 11, 2022

This post shows you how to use an integrated solution with Amazon Lookout for Metrics and Amazon Kinesis Data Firehose to break these barriers by quickly and easily ingesting streaming data, and subsequently detecting anomalies in the key performance indicators of your interest. You don’t need ML experience to use Lookout for Metrics.

Metrics 71

Metrics APIs Scripts Wireless 71

AWS Machine Learning

JANUARY 8, 2024

The second approach is a turnkey deployment of various infrastructure components using AWS Cloud Development Kit (AWS CDK) constructs. The AWS CDK construct provides a resilient and flexible framework to process your documents and build an end-to-end IDP pipeline. Now on to our second solution for documents at scale.

Scripts 94

Scripts Construction APIs Healthcare 94

AWS Machine Learning

JUNE 20, 2024

Constructing SQL queries from natural language isn’t a simple task. Figure 2: High level database access using an LLM flow The challenge An LLM can construct SQL queries based on natural language. Figure 2: High level database access using an LLM flow The challenge An LLM can construct SQL queries based on natural language.

Construction 88

Construction APIs Metrics Engineering 88

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 108

Analytics APIs Engineering Construction 108

AWS Machine Learning

NOVEMBER 21, 2023

Prior to the introduction of this feature, customers had to construct these elements using post-processing code and the words and lines response from Amazon Textract. The LAYOUT feature of AnalyzeDocument API can now detect up to ten different layout elements in a document’s page.

APIs 92

APIs Construction Metrics Education 92

AWS Machine Learning

NOVEMBER 30, 2023

The sheer number of metrics make it hard to filter down to ones that are truly relevant for their use-cases. Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes.

Construction 93

Construction Metrics industry standards APIs 93

AWS Machine Learning

MAY 8, 2024

You can also fetch these metrics and analyze them using TrainingJobAnalytics : df = TrainingJobAnalytics(training_job_name=training_job_name).dataframe() dataframe() #It will produce a dataframe with different metrics df.head(10) The following graph shows different metrics collected from the CloudWatch log using TrainingJobAnalytics.

Metrics 102

Metrics Construction APIs Accountability 102

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 72

APIs Government Accountability Scripts 72

AWS Machine Learning

JUNE 9, 2023

Basically, by using the API of this layer, you can focus on the model development without worrying about how to scale the model training. TB RAM) to construct the OAG graph. After constructing a graph, you can use gs_link_prediction to train a link prediction model on four g5.48xlarge instances.

Enterprise 90

Enterprise Construction Engineering Metrics 90

AWS Machine Learning

APRIL 19, 2024

The Kubernetes semantics used by the provisioners support directed scheduling using Kubernetes constructs such as taints or tolerations and affinity or anti-affinity specifications; they also facilitate control over the number and types of GPU instances that may be scheduled by Karpenter. A managed node group with two c5.xlarge

Metrics 106

Metrics APIs Scripts Construction 106

AWS Machine Learning

SEPTEMBER 18, 2023

The combination of Ray and SageMaker provides end-to-end capabilities for scalable ML workflows, and has the following highlighted features: Distributed actors and parallelism constructs in Ray simplify developing distributed applications. Ray AI Runtime (AIR) reduces friction of going from development to production.

Scripts 107

Scripts APIs Government Construction 107

AWS Machine Learning

AUGUST 10, 2023

SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts. One example is performing a metric query on the SageMaker job host’s utilization metrics when a job completion event is received.

Scripts 80

Scripts Accountability Metrics APIs 80

AWS Machine Learning

NOVEMBER 22, 2023

There are service limits (or quotas) for these services to avoid over-provisioning and to limit request rates on API operations, protecting the services from abuse. Collect metrics from the IDP workflow, automate responses to alarms, and send notifications as required to your workflow and business objectives.

Best practices 86

Best practices APIs Accountability Enterprise 86

AWS Machine Learning

JANUARY 19, 2024

The goal of NAS is to find the optimal architecture for a given problem by searching over a large set of candidate architectures using techniques such as gradient-free optimization or by optimizing the desired metrics. The performance of the architecture is typically measured using metrics such as validation loss.

Metrics 104

Metrics Scripts Benchmark Enterprise 104

AWS Machine Learning

JUNE 7, 2023

Open-sourcing Falcon 40B enables users to construct and customize AI tools that cater to unique users needs, facilitating seamless integration and ensuring the long-term preservation of data assets. TII used transient clusters provided by the SageMaker Training API to train the Falcon LLM, up to 48 ml.p4d.24xlarge

Technology 92

Technology APIs Engineering Education 92

NobelBiz

JULY 27, 2021

Our development and engineering teams are ready to construct the next integration depending on your unique needs, in addition to our outstanding list of integrations. We have an extensive list of CRM and API integrations in our arsenal with support from our development and engineering teams. Rapid migration: quick implementation.

contact center solutions 52

contact center solutions Cloud contact Contact Center APIs 52

AWS Machine Learning

NOVEMBER 25, 2022

Defining the right objective metric matching your task. When our tuning job is complete, we look at some of the methods available to explore the results, both via the AWS Management Console and programmatically via the AWS SDKs and APIs. Collects metrics and logs. Amazon SageMaker Automatic Model Tuning. Runs the training.

Scripts 78

Scripts APIs Metrics Construction 78

AWS Machine Learning

SEPTEMBER 18, 2023

Informing design decisions towards more sustainable choices reduces the overall urban heat islands (UHI) effect and improves quality of life metrics for air quality, water quality, urban acoustics, biodiversity, and thermal comfort. The solution presented here is to direct decision-making processes for resilient city design.

APIs 100

APIs Consulting Consulting Construction 100

ViiBE Blog

JULY 30, 2021

Automotive , Construction , Energy , Insurance , Retail , SMB , Transport. The most desired and beneficial features of successful contact centers are: interactive voice response customer experience recording advanced analytics and reporting embedded CRM API integrations. ViiBE Blog. What is a contact center? Natalia Barszcz.

Contact Center 52

Contact Center Automotive Transportation Analytics 52

AWS Machine Learning

MAY 7, 2024

With SageMaker JumpStart, you can evaluate, compare, and select FMs quickly based on predefined quality and responsibility metrics to perform tasks like article summarization and image generation. To deploy a model from SageMaker JumpStart, you can use either APIs, as demonstrated in this post, or use the SageMaker Studio UI.

Engineering 102

Engineering Technical Support Chatbots Best practices 102

AWS Machine Learning

JANUARY 20, 2023

Step-by-step solution Step 1 A client makes a request to the AWS API Gateway endpoint. The Lambda function will then return a response through the API Gateway endpoint with a message that includes the prediction ID assigned to the request and the Amazon S3 pre-signed URL. This input includes the name of the AI service to be called.

APIs 66

APIs Engineering Telecommunications Construction 66

AWS Machine Learning

OCTOBER 27, 2022

The quick way to identify a CPU bottleneck is to monitor CPU and GPU utilization metrics for SageMaker training jobs in Amazon CloudWatch. You can access these views from the AWS Management Console within the training job page’s instance metrics hyperlink. Pick the relevant metrics and switch from 5-minute to 1-minute resolution.

Scripts 71

Scripts Benchmark Metrics Transportation 71

AWS Machine Learning

APRIL 18, 2023

Although these SEC filings are publicly available to anyone, downloading parsed filings and constructing a clean dataset with added features is a time-consuming exercise. We make this possible in a few API calls in the JumpStart Industry SDK. PPL is emitted in the training job’s Amazon CloudWatch logs.

Finance 68

Finance Scripts APIs Sales 68