AWS Machine Learning

SEPTEMBER 18, 2024

ZOE is a multi-agent LLM application that integrates with multiple data sources to provide a unified view of the customer, simplify analytics queries, and facilitate marketing campaign creation. From our experience, artifact server has some limitations, such as limits on artifact size (because of sending it using REST API).

APIs 105

APIs Engineering Analytics Marketing 105

AWS Machine Learning

AUGUST 2, 2024

Queries are sent to the backend using a REST API defined in Amazon API Gateway , a fully managed service that makes it straightforward for developers to create, publish, maintain, monitor, and secure APIs at any scale, and implemented through an API Gateway private integration.

APIs 104

APIs Analytics Chatbots Engineering 104

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.

Benchmark 87

Benchmark Banking Analytics Big data 87

AWS Machine Learning

JULY 15, 2024

Welocalize benchmarks the performance of using LLMs and machine translations and recommends using LLMs as a post-editing tool. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud. Adrian Martin is a Big Data/Machine Learning Lead Engineer at Mission Cloud. Amazon Translate has various unique benefits.

Engineering 108

Engineering Entertainment Big data Benchmark 108

Spearline

JANUARY 23, 2018

An API (Application Programming Interface) will enhance your utilisation of our platform. Our RESTful API provides your developers with the ability to create campaigns, add numbers, time groups, export data for every test run, every day, every hour, every minute if that’s what you need to put your arms around your business.

Benchmark 40

Benchmark Call flow APIs Big data 40

AWS Machine Learning

JULY 24, 2023

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. In this section, we show how to build your own container, deploy your own GPT-2 model, and test with the SageMaker endpoint API. implement the model and the inference API. model_fp16.onnx gpt2 and predictor.py

APIs 71

APIs Engineering Construction Benchmark 71

AWS Machine Learning

JUNE 24, 2022

Data scientists collaborate with ML engineers in a separate environment to build robust and production-ready algorithms and source code, orchestrated using Amazon SageMaker Pipelines. The generated models are stored and benchmarked in the Amazon SageMaker model registry. Data lake and MLOps integration.

Enterprise 102

Enterprise Engineering Accountability APIs 102