AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 105

APIs Chatbots Construction Engineering 105

AWS Machine Learning

MARCH 3, 2025

Performance metrics and benchmarks Pixtral 12B is trained to understand both natural images and documents, achieving 52.5% You can find detailed usage instructions, including sample API calls and code snippets for integration. To begin using Pixtral 12B, choose Deploy.

Benchmark 95

Benchmark APIs Enterprise Construction 95

AWS Machine Learning

JANUARY 10, 2024

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The EventBridge model registration event rule invokes a Lambda function that constructs an email with a link to approve or reject the registered model.

APIs 124

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AWS Machine Learning

NOVEMBER 14, 2024

The user’s request is sent to AWS API Gateway , which triggers a Lambda function to interact with Amazon Bedrock using Anthropic’s Claude Instant V1 FM to process the user’s request and generate a natural language response of the place location. It will then return the place name with the highest similarity score.

APIs 109

APIs Engineering Personalization Transportation 109

AWS Machine Learning

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Government 120

Government APIs Enterprise Best practices 120

AWS Machine Learning

FEBRUARY 5, 2025

Colang is purpose-built for simplicity and flexibility, featuring fewer constructs than typical programming languages, yet offering remarkable versatility. It leverages natural language constructs to describe dialogue interactions, making it intuitive for developers and simple to maintain. Integrating Llama 3.1 The Llama 3.1

Chatbots 97

Chatbots Construction Best practices APIs 97

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 128

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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 107

Construction APIs Metrics Engineering 107

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 84

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AWS Machine Learning

NOVEMBER 6, 2023

You can use the adapter for inference by passing the adapter identifier as an additional parameter to the Analyze Document Queries API request. Adapters can be created via the console or programmatically via the API. You can analyze these metrics either collectively or on a per-document basis. MICR line format).

APIs 125

APIs Best practices Banking Accountability 125

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 110

APIs Construction Metrics Education 110

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 108

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AWS Machine Learning

SEPTEMBER 8, 2023

The implementation used in this post utilizes the Amazon Textract IDP CDK constructs – AWS Cloud Development Kit (CDK) components to define infrastructure for Intelligent Document Processing (IDP) workflows – which allow you to build use case specific customizable IDP workflows. The DocumentSplitter is implemented as an AWS Lambda function.

Construction 127

Construction Metrics Best practices APIs 127

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 124

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AWS Machine Learning

JULY 25, 2024

If it detects error messages specifically related to the Neuron device (which is the Trainium or AWS Inferentia chip), it will change NodeCondition to NeuronHasError on the Kubernetes API server. The node recovery agent is a separate component that periodically checks the Prometheus metrics exposed by the node problem detector.

Construction 112

Construction Metrics Scripts Engineering 112

AWS Machine Learning

OCTOBER 31, 2022

You can call the specific container directly in the API call and get the prediction from that model. In this example, we have two models ( englishModel and germanModel ), and we define the containers in the SageMaker create_model construct and define the InferenceExecutionConfig as ‘Direct’. response = runtime.invoke_endpoint(.

APIs 90

APIs Metrics Construction Enterprise 90

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 133

Healthcare APIs Scripts Metrics 133

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 102

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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 120

Metrics Construction APIs Accountability 120

AWS Machine Learning

AUGUST 2, 2024

We partnered with Keepler , a cloud-centered data services consulting company specialized in the design, construction, deployment, and operation of advanced public cloud analytics custom-made solutions for large organizations, in the creation of the first generative AI solution for one of our corporate teams.

APIs 116

APIs Analytics Chatbots Engineering 116

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. FD_SL_Process_IEEE-CIS_Dataset.ipynb. next(dataProcessTask).next(hyperParaTask).next(trainingJobTask).next(runLoadGraphDataTask).next(modelRepackagingTask).next(createModelTask).next(createEndpointConfigTask).next(c

Construction 95

Construction APIs Accountability Scripts 95

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 110

Construction Metrics industry standards Benchmark 110

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 125

Analytics APIs Engineering Construction 125

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 118

Scripts Construction Engineering APIs 118

AWS Machine Learning

NOVEMBER 1, 2023

However, like other nascent technologies, obstacles remain in managing model intricacy, harmonizing diverse modalities, and formulating uniform evaluation metrics. The TGI framework underpins the model inference layer, providing RESTful APIs for robust integration and effortless accessibility.

APIs 117

APIs Engineering Construction Scripts 117

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 85

APIs Government Accountability Scripts 85

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 101

Technology APIs Engineering Education 101

AWS Machine Learning

AUGUST 15, 2024

After authentication, Amazon API Gateway and Amazon S3 deliver the contents of the Content Designer UI. The admin configures questions and answers in the Content Designer and the UI sends requests to API Gateway to save the questions and answers. input – A placeholder for the current user utterance or question.

Chatbots 126

Chatbots Banking APIs Enterprise 126

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 90

Scripts APIs Metrics Construction 90

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 87

Scripts Metrics Construction APIs 87

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 122

Metrics Scripts Benchmark Enterprise 122

AWS Machine Learning

OCTOBER 8, 2024

Throughout this blog post, we will be talking about AutoML to indicate SageMaker Autopilot APIs, as well as Amazon SageMaker Canvas AutoML capabilities. The following diagram depicts the basic AutoMLV2 APIs, all of which are relevant to this post. The diagram shows the workflow for building and deploying models using the AutoMLV2 API.

Metrics 93

Metrics APIs Sales Accountability 93

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 122

Finance Metrics Banking Engineering 122

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 126

Engineering Accountability Construction APIs 126

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 94

APIs Construction Metrics Engineering 94

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 84

APIs Construction Metrics Technology 84

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 92

Scripts Accountability Metrics Best practices 92