Remove 2024 Remove APIs Remove Scripts
article thumbnail

Node problem detection and recovery for AWS Neuron nodes within Amazon EKS clusters

AWS Machine Learning

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. In the training scripts, it saves checkpoints periodically so that the training will resume from the previous checkpoint.

article thumbnail

Top 10 Auto Dialer Software in 2024 for Efficient Sales Teams

JustCall

Features you should look for in modern auto dialers Here are four crucial features that modern auto dialers in 2024 should have to maximize the potential of your sales teams or agents: Predictive dialing: Basic auto dialers are better than manual dialing , but predictive dialing takes it further. creating visualizations such as charts).

Sales 52
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

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 128
article thumbnail

Top 5 Call Center Quality Assurance Software for 2024

Balto

Here’s the good news: in 2024, we have a wide array of capable call center quality assurance software solutions that can streamline QA processes, automate manual tasks, and deliver insightful reports to support decision-making. The post Top 5 Call Center Quality Assurance Software for 2024 appeared first on Balto.

article thumbnail

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

AWS Machine Learning

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. user id 111 Today: 09/03/2024 Certainly! Your appointment ID is XXXX.

article thumbnail

Transitioning from Amazon Rekognition people pathing: Exploring other alternatives

AWS Machine Learning

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 81
article thumbnail

Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans

AWS Machine Learning

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 80