AWS Machine Learning

APRIL 19, 2023

Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. Ideally, we instead want to load the model PyTorch scripts, extract the features from model input, and run model inference entirely in Java. However, a few issues came with this solution.

Engineering 81

Engineering APIs Scripts Education 81

JustCall

APRIL 12, 2023

Highlights of JustCall and Aircall Highlights of JustCall: JustCall is a SaaS VoIP application, which is typically used by the following industries: Marketing and Advertising (9.7%) Computer Software (9.3%) Real Estate (8.4%) Education Management (6.6%) Information Technology and Services (6.2%) Others (59.7%

Real estate 52

Real estate Interactive Voice Response CRM Call Center 52

Enghouse Interactive

OCTOBER 21, 2020

But if that data is captured, the AI tools will have analyzed their inquiry, and will be able to provide the agent with everything required to quickly resolve the customer’s issue, from detailed scripting, relevant support information, and access to internal subject matter experts if necessary.

Self service 98

Self service Contact Center Benchmark Chatbots 98

AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 112

APIs Enterprise Scripts Accountability 112

AWS Machine Learning

MAY 8, 2023

To use TensorRT as a backend for Triton Inference Server, you need to create a TensorRT engine from your trained model using the TensorRT API. Inference requests arrive at the server via either HTTP/REST or by the C API , and are then routed to the appropriate per-model scheduler. script from the following cell.

Engineering 89

Engineering APIs Best practices Scripts 89

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 82

Scripts APIs Metrics Construction 82

AWS Machine Learning

MAY 9, 2023

Inference requests arrive at the server via either HTTP/REST or by the C API and are then routed to the appropriate per-model scheduler. SageMaker MMEs offer capabilities for running multiple deep learning or ML models on the GPU at the same time with Triton Inference Server, which has been extended to implement the MME API contract.

APIs 88

APIs Scripts Best practices Enterprise 88