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 106

APIs Chatbots Construction Engineering 106

CCNG

JUNE 7, 2023

Personalized Recommendations : Based on customer preferences and purchase history, Chat GPT can provide personalized product or service recommendations. In the end, writing scripts, using it for marketing or content and other simple tasks appear to be the main use cases right now.” says Fred.

Contact Center 195

Contact Center CCNG APIs Scripts 195

TeleDirect

APRIL 25, 2025

Ask about: Compatibility with your EHR Secure API integration or SFTP data exchange Real-time appointment syncing and status updates Step 6: Review Call Center Staff Training and Specialization Healthcare calls require knowledgeable and empathetic agents. A signed BAA is standard. A: Not necessarily.

Healthcare 62

Healthcare Call Center Abandon rate outsourcing 62

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 141

APIs Scripts Enterprise Management 141

AWS Machine Learning

AUGUST 2, 2024

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

Engineering 133

Engineering Scripts Metrics Advertising 133

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 126

APIs Scripts Entertainment Personalization 126

AWS Machine Learning

NOVEMBER 30, 2023

Amazon Rekognition automatically recognizes tens of thousands of well-known personalities in images and videos using ML. The function then searches the OpenSearch Service image index for images matching the celebrity name and the k-nearest neighbors for the vector using cosine similarity using Exact k-NN with scoring script.

Scripts 126

Scripts APIs Entertainment Accountability 126

AWS Machine Learning

FEBRUARY 29, 2024

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 137

APIs Healthcare Scripts Enterprise 137

AWS Machine Learning

MAY 31, 2024

They facilitate the discovery of novel gene functions, the identification of disease-causing mutations, and the development of personalized treatment strategies, ultimately driving innovation and advancement in genomics-driven fields. Lastly the model is tested against a set of known genome sequences using some inference API calls.

Biotechnology 117

Biotechnology Scripts Healthcare APIs 117

AWS Machine Learning

SEPTEMBER 14, 2023

Despite using Amazon Comprehend to filter out personal data that may be provided through user queries, there remains a possibility of unintentionally surfacing personal or sensitive information, depending on the ingested data. Identifying users and their actions allows the solution to maintain traceability.

APIs 124

APIs Healthcare Scripts Engineering 124

AWS Machine Learning

AUGUST 19, 2022

Today, a lot of customers are using TensorFlow to train deep learning models for their clickthrough rate in advertising and personalization recommendations in ecommerce. When you use the TensorFlow dataset API and distribute strategy together, the dataset object should be returned instead of features and labels in function input_fn.

Best practices 102

Best practices APIs Scripts Advertising 102

AWS Machine Learning

APRIL 12, 2023

The AI and data science team dive into a plethora of multi-dimensional data and run a variety of use cases like player journey optimization, game action detection, hyper-personalization, customer 360, and more on AWS. This helps in validating if our custom scripts will run on SageMaker instances.

Scripts 109

Scripts APIs Metrics Best practices 109

AWS Machine Learning

APRIL 23, 2024

With Knowledge Bases for Amazon Bedrock, you can quickly build applications using Retrieval Augmented Generation (RAG) for use cases like question answering, contextual chatbots, and personalized search. It calls the CreateDataSource and DeleteDataSource APIs.

APIs 127

APIs Enterprise Scripts Accountability 127

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. To create your PAT, follow the instructions in Creating a personal access token (classic).

Scripts 127

Scripts Chatbots Accountability Multi-channel support 127

AWS Machine Learning

AUGUST 18, 2022

In some ways similar to what Keras did for TensorFlow, or even arguably Hugging Face, PyTorch Lightning provides a high-level API with abstractions for much of the lower-level functionality of PyTorch itself. For PyTorch Lightning, generally speaking, there should be little-to-no code changes to simply run these APIs on SageMaker Training.

Scripts 106

Scripts APIs Benchmark Engineering 106

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. Semantic segmentation treats multiple people in the image as one entity: Person. However, instance segmentation identifies individual people within the Person category.

APIs 98

APIs Scripts Enterprise Big data 98

AWS Machine Learning

JANUARY 12, 2023

Amazon API Gateway with AWS Lambda integration that converts the input text to the target language using the Amazon Translate SDK. The following steps set up API Gateway, Lambda, and Amazon Translate resources using the AWS CDK. Take note of the API key and the API endpoint created during the deployment. Prerequisites.

Customer Support 101

Customer Support APIs Scripts Enterprise 101

AWS Machine Learning

FEBRUARY 19, 2024

The Knowledge Bases for Amazon Bedrock integration allows our chatbot to provide more relevant, personalized responses by linking user queries to related information data points. Note that you can also use Knowledge Bases for Amazon Bedrock service APIs and the AWS Command Line Interface (AWS CLI) to programmatically create a knowledge base.

Chatbots 135

Chatbots APIs Engineering Enterprise 135

NobelBiz

MAY 11, 2021

Writing a call script is a must for contact centers that want to excel in their prospecting effort. If you write it according to the rules of the game, the script is an observable, cost-effective, and efficient method of attracting and maintaining prospects and clients. What exactly is call scripting? Why do scripts exist?

Scripts 52

Scripts Contact Center Calibration CRM 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 95

APIs Contact Center Feedback Analytics 95

AWS Machine Learning

OCTOBER 2, 2023

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. Use the scripts created in step one as part of the processing and training steps. We started by creating command line scripts from the experiment code.

Scripts 124

Scripts Construction Engineering APIs 124

AWS Machine Learning

NOVEMBER 14, 2023

The solution also uses Amazon Bedrock , a fully managed service that makes foundation models (FMs) from Amazon and third-party model providers accessible through the AWS Management Console and APIs. For this post, we use the Amazon Bedrock API via the AWS SDK for Python. The script instantiates the Amazon Bedrock client using Boto3.

APIs 132

APIs Engineering Scripts Education 132

AWS Machine Learning

AUGUST 29, 2024

This allows developers to take advantage of the power of these advanced models using SageMaker APIs and just a few lines of code, accelerating the deployment of cutting-edge AI capabilities within their applications. You can sign up for the free 90-day evaluation license on the API Catalog by signing up with your organization email address.

APIs 91

APIs Enterprise Accountability Engineering 91

AWS Machine Learning

MAY 19, 2023

The DescribeForMe web app invokes the backend AI services by sending the Amazon S3 object Key in the payload to Amazon API Gateway Amazon API Gateway instantiates an AWS Step Functions workflow. A pre-signed URL with the location of the audio file stored in Amazon S3 is sent back to the user’s browser through Amazon API Gateway.

APIs 101

APIs Scripts Best practices Engineering 101

AWS Machine Learning

JUNE 12, 2024

It also enables conversing with Amazon Q through an interface personalized to your use case. This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs.

APIs 138

APIs Enterprise Accountability Feedback 138

AWS Machine Learning

JUNE 6, 2023

Run your DLC container with a model training script to fine-tune the RoBERTa model. After model training is complete, package the saved model, inference scripts, and a few metadata files into a tar file that SageMaker inference can use and upload the model package to an Amazon Simple Storage Service (Amazon S3) bucket.

Scripts 97

Scripts APIs Benchmark Management 97

AWS Machine Learning

MAY 22, 2024

Furthermore, having factoid product descriptions can increase customer satisfaction by enabling a more personalized buying experience and improving the algorithms for recommending more relevant products to users, which raise the probability that users will make a purchase. We prepared entrypoint_vqa_finetuning.py

Scripts 137

Scripts Engineering Accountability Benchmark 137

AWS Machine Learning

MARCH 22, 2023

Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. Configure the IdP To set up your IdP, you must register the Data Wrangler application and set up your authorization server or API. Configure Snowflake. Configure SageMaker Studio.

APIs 98

APIs Engineering Analytics Scripts 98

AWS Machine Learning

FEBRUARY 20, 2023

Today, we announce that you can personalize the image generation model to your use case by fine-tuning it on your custom dataset in Amazon SageMaker JumpStart. Fine-tuning large models like Stable Diffusion usually requires you to provide training scripts. training_instance_type = "ml.g4dn.2xlarge"

Scripts 101

Scripts APIs Entertainment Construction 101

AWS Machine Learning

JULY 25, 2022

The objective was to develop ML systems that could deliver a more personalized trading experience by modeling the interest and preferences of users for bonds available on Trumid. For production, we wanted to invoke the model as a simple API call. Deliver product recommendations with Amazon Personalize. About the authors.

Scripts 100

Scripts Engineering Analytics APIs 100

Balto

JANUARY 6, 2025

Personalized Coaching: The Coaching Dashboard, along with automated call alerts, enables personalized coaching sessions and targeted improvements for agents. Dynamic Prompts: Assist your agents during make-or-break moments with timely responses and questions to improve their performance and improve customer satisfaction.

Call Center 52

Call Center Coaching Surveys Contact Center 52

AWS Machine Learning

MARCH 7, 2023

When you open a notebook in Studio, you are prompted to set up your environment by choosing a SageMaker image, a kernel, an instance type, and, optionally, a lifecycle configuration script that runs on image startup. The main benefit is that a data scientist can choose which script to run to customize the container with new packages.

Management 98

Management Scripts Government Engineering 98

AWS Machine Learning

OCTOBER 1, 2024

Whether you’re a person with a motor disability, juggling multiple tasks, or simply away from your computer, getting search results without typing is a valuable feature. This chatbot is designed to assist users with various tasks, provide information, and offer personalized support based on their unique requirements.

Chatbots 92

Chatbots APIs Scripts Management 92

AWS Machine Learning

AUGUST 11, 2023

The JumpStart APIs allow you to programmatically deploy and fine-tune a vast selection of pre-trained models on your own datasets. As of this writing, over 20 solutions are available for multiple use cases, such as demand forecasting, fraud detection, and personalized recommendations, to name a few.

Scripts 98

Scripts Finance Construction APIs 98

AWS Machine Learning

SEPTEMBER 23, 2024

Prerequisties The proposed solution can be implemented in a personal AWS environment using the code that we provide. Boto3 is the AWS SDK for Python that helps you to integrate AWS services with applications or scripts written in Python. All of this happens without human intervention. First, we import OpenCv and Boto3 package.

APIs 118

APIs Scripts Technology Accountability 118

AWS Machine Learning

NOVEMBER 21, 2022

Personalized recommendations. This notebook demonstrates how to use the JumpStart API for text classification. To run inference on this model, we first need to download the inference container ( deploy_image_uri ), inference script ( deploy_source_uri ), and pre-trained model ( base_model_uri ). Credit rating prediction.

Scripts 98

Scripts Metrics APIs Healthcare 98

AWS Machine Learning

MAY 4, 2023

You can use ml.inf2 and ml.trn1 instances to run your ML applications on SageMaker for text summarization, code generation, video and image generation, speech recognition, personalization, fraud detection, and more. xlarge" ) Refer to Developer Flows for more details on typical development flows of Inf2 on SageMaker with sample scripts.

APIs 101

APIs Scripts Engineering Chatbots 101