Hodusoft

MAY 10, 2024

As per recent stats the number of remote call center agents is expected to grow by 60 percent from 2022 to 2024. 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

APRIL 29, 2024

In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows. This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons.

APIs 123

APIs Engineering Scripts Management 123

AWS Machine Learning

SEPTEMBER 24, 2024

Add the following inline policies (available in the notebooks/iam-roles folder in the GitHub repository): bedrock-agents-retrieve.json bedrock-invoke-model-all.json lex-invoke-bot.json opensearch-serverless-api-access.json You can revise these roles to limit resource access as needed. run_tests.ipynb – This notebook runs a set of test cases.

Contact Center 100

Contact Center Analytics Accountability Self service 100

AWS Machine Learning

SEPTEMBER 11, 2024

Amazon EKS creates a highly available endpoint for the managed Kubernetes API server that you use to communicate with your cluster (using tools like kubectl). The managed endpoint uses Network Load Balancer to load balance Kubernetes API servers. This VPC doesn’t appear in the customer account. Replace the Instance.

APIs 88

APIs Accountability Metrics Management 88

AWS Machine Learning

AUGUST 29, 2024

At the 2024 NVIDIA GTC conference, we announced support for NVIDIA NIM Inference Microservices in Amazon SageMaker Inference. 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.

APIs 89

APIs Enterprise Accountability Engineering 89

AWS Machine Learning

SEPTEMBER 19, 2024

Users initiate the process by calling the SageMaker control plane through APIs or command line interface (CLI) or using the SageMaker SDK for each individual step. Create a Weights & Biases API key to access the Weights & Biases dashboard for logging and monitoring Request a SageMaker service quota for 1x ml.p4d.24xlarge

Engineering 94

Engineering APIs Scripts Metrics 94

AWS Machine Learning

NOVEMBER 22, 2024

Amazon Q Business provides a rich set of APIs to perform administrative tasks and to build an AI assistant with customized user experience for your enterprise. In this post, we show how to use Amazon Q Business APIs when using AWS Identity and Access Management (IAM) federation for user access management. The sample scripts samlapp.py

APIs 101

APIs Scripts Management Enterprise 101

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 141

APIs Scripts Finance Real estate 141

AWS Machine Learning

NOVEMBER 22, 2024

Implementation details We spin up the cluster by calling the SageMaker control plane through APIs or the AWS Command Line Interface (AWS CLI) or using the SageMaker AWS SDK. Optional) Create a Weights & Biases API key to access the Weights & Biases dashboard for logging and monitoring. on Hugging Face.

Scripts 97

Scripts APIs Construction Engineering 97

AWS Machine Learning

OCTOBER 24, 2024

New customers will not be able to access the capability effective October 24, 2024, but existing customers will be able to use the capability as normal until October 31, 2025. Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline.

Scripts 107

Scripts APIs Analytics Personalization 107

AWS Machine Learning

DECEMBER 5, 2024

Create a SageMaker training plan using the AWS CLI Complete the following steps to create a training plan using the AWS CLI: Start by calling the API, passing your capacity requirements as input parameters, to search for all matching training plan offerings. You can start using your plan once it transitions to the Active state.

APIs 103

APIs Engineering Scripts Wait times 103