AWS Machine Learning

NOVEMBER 1, 2024

In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock. Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well.

Best practices 99

Best practices APIs Finance Metrics 99

AWS Machine Learning

MARCH 27, 2025

These include metrics such as ROUGE or cosine similarity for text similarity, and specific benchmarks for assessing toxicity (Detoxify), prompt stereotyping (cross-entropy loss), or factual knowledge (HELM, LAMA). Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API.

Education 113

Education Engineering APIs Enterprise 113

AWS Machine Learning

NOVEMBER 15, 2024

The prompt uses XML tags following Anthropic’s Claude best practices. An alternative approach to routing is to use the native tool use capability (also known as function calling) available within the Bedrock Converse API. Refer to this documentation for a detailed example of tool use with the Bedrock Converse API.

APIs 120

APIs Engineering Chatbots Construction 120

AWS Machine Learning

MARCH 3, 2025

They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. Through comparative benchmarking tests, we illustrate how deploying FMs in Local Zones closer to end users can significantly reduce latencya critical factor for real-time applications such as conversational AI assistants.

APIs 87

APIs Benchmark Metrics Healthcare 87

AWS Machine Learning

JULY 2, 2024

You can see that for the 45 models we benchmarked, there is a 1.35x latency improvement (geomean for the 45 models). You can see that for the 33 models we benchmarked, there is around 2x performance improvement (geomean for the 33 models). We benchmarked 45 models using the scripts from the TorchBench repo.

Benchmark 123

Benchmark Scripts Metrics APIs 123

AWS Machine Learning

JULY 10, 2024

AI Service Cards are a form of responsible AI documentation that provide customers with a single place to find information on the intended use cases and limitations, responsible AI design choices, and deployment and performance optimization best practices for our AI services and models.

Government 138

Government Education Best practices Benchmark 138

AWS Machine Learning

APRIL 22, 2024

It provides examples of use cases and best practices for using generative AI’s potential to accelerate sustainability and ESG initiatives, as well as insights into the main operational challenges of generative AI for sustainability. Throughout this lifecycle, implementing AWS Well-Architected Framework best practices is recommended.

Best practices 140

Best practices Benchmark Transportation Engineering 140

AWS Machine Learning

JUNE 15, 2023

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

APIs 104

APIs Benchmark Best practices Engineering 104

AWS Machine Learning

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 130

APIs Metrics Consulting Consulting 130

aircall

MAY 24, 2021

By following best practices for your digital transformation framework, you also get the benefit of flexibility so you can add and subtract digital tools as your company’s needs change. 10 Best Practices to Develop a Framework for Digital Transformation. Run an audit to create a benchmark to map your current status.

Best practices 62

Best practices Call Center Analytics Technology 62

CSM Magazine

DECEMBER 27, 2023

Automated API testing stands as a cornerstone in the modern software development cycle, ensuring that applications perform consistently and accurately across diverse systems and technologies. Continuous learning and adaptation are essential, as the landscape of API technology is ever-evolving.

APIs 52

APIs Benchmark Best practices Technology 52

AWS Machine Learning

FEBRUARY 8, 2023

Although you can integrate the model directly into an application, the approach that works well for production-grade applications is to deploy the model behind an endpoint and then invoke the endpoint via a RESTful API call to obtain the inference. However, you can use any other benchmarking tool. large two-core machine.

Benchmark 104

Benchmark Metrics APIs Engineering 104

AWS Machine Learning

SEPTEMBER 21, 2023

In particular, we provide practical best practices for different customization scenarios, including training models from scratch, fine-tuning with additional data using full or parameter-efficient techniques, Retrieval Augmented Generation (RAG), and prompt engineering.

Best practices 134

Best practices Engineering Metrics Benchmark 134

AWS Machine Learning

NOVEMBER 22, 2023

The AWS Well-Architected Framework provides a systematic way for organizations to learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. This helps you avoid throttling limits on API calls due to polling the Get* APIs.

APIs 120

APIs Metrics Benchmark Enterprise 120

AWS Machine Learning

SEPTEMBER 18, 2024

Together, these AI-driven tools and technologies aren’t just reshaping how brands perform marketing tasks; they’re setting new benchmarks for what’s possible in customer engagement. From our experience, artifact server has some limitations, such as limits on artifact size (because of sending it using REST API).

APIs 123

APIs Engineering Analytics Marketing 123

AWS Machine Learning

NOVEMBER 22, 2023

It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices. Focus areas The design principles and best practices of the Cost Optimization pillar are based on insights gathered from our customers and our IDP technical specialist communities.

Finance 115

Finance Best practices APIs Accountability 115

AWS Machine Learning

MARCH 19, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. A limitation of the approach is its larger computational cost.

APIs 136

APIs Benchmark SaaS Engineering 136

AWS Machine Learning

JULY 25, 2024

Although existing large language model (LLM) benchmarks like MT-bench evaluate model capabilities, they lack the ability to validate the application layers. Evaluator considerations By default, evaluators use the InvokeModel API with On-Demand mode, which will incur AWS charges based on input tokens processed and output tokens generated.

APIs 136

APIs Engineering Best practices Virtual Agent 136

JivoChat

JUNE 20, 2022

You will understand how to use Java best practices, advanced Java concepts, and acquire important skills to be a web or Android developer, for instance. You will learn the best practices and coding conventions for writing Java code, and how to program using Java 8 constructs like Lambdas and Streams. Data and time API.

APIs 75

APIs Benchmark Best practices Construction 75

AWS Machine Learning

JULY 18, 2024

This initiative not only underscores the transformative potential of AI in cybersecurity, but also provides valuable insights into the challenges and best practices for integrating LLMs into real-world applications. This highlighted the importance of comprehensive testing and benchmarking. It gives Mend.io

APIs 133

APIs Technology Analytics Benchmark 133

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. The trtexec tool has three main purposes: Benchmarking networks on random or user-provided input data. We can send the inference request to the multi-model endpoint using the invoke_enpoint API.

Engineering 101

Engineering APIs Best practices Scripts 101

AWS Machine Learning

APRIL 12, 2023

For a single model registration we can use the ModelStep API to create a SageMaker model in registry. The SageMaker Python APIs also allowed us to send custom metadata that we wanted to pass to select the best models. This allows us to compare training metrics like accuracy and precision across multiple runs as shown below.

Scripts 110

Scripts APIs Metrics Best practices 110

AWS Machine Learning

NOVEMBER 9, 2022

In this post, we discuss SageMaker multi-variant endpoints and best practices for optimization. Your application simply needs to include an API call with the target model to this endpoint to achieve low-latency, high-throughput inference. Best practices for multi-variant endpoints.

Best practices 52

Best practices Construction Metrics Enterprise 52

AWS Machine Learning

OCTOBER 21, 2024

In this blog post, we will introduce how to use an Amazon EC2 Inf2 instance to cost-effectively deploy multiple industry-leading LLMs on AWS Inferentia2 , a purpose-built AWS AI chip, helping customers to quickly test and open up an API interface to facilitate performance benchmarking and downstream application calls at the same time.

APIs 87

APIs Benchmark Education Marketing 87

AWS Machine Learning

JUNE 20, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Metrics 139

Metrics Engineering Accountability Benchmark 139

Cincom

MARCH 20, 2025

4- Improving Deal Closure Rates with Real-Time Insights CPQ provides real-time analytics on customer preferences, pricing trends, and competitor benchmarks. Here are some best practices to ensure a smooth integration: 1- Define Clear Objectives and Requirements Before implementing CPQ, outline your key goals.

B2B 40

B2B Sales CRM Finance 40

AWS Machine Learning

FEBRUARY 24, 2023

Two key distinctions are the low altitude, oblique perspective of the imagery and disaster-related features, which are rarely featured in computer vision benchmarks and datasets. In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture.

APIs 101

APIs Benchmark Government Analytics 101

AWS Machine Learning

JUNE 5, 2023

Autotune uses best practices as well as internal benchmarks for selecting the appropriate ranges. Autotune is a new feature of automatic model tuning that helps save you time and reduce wasted resources on finding optimal hyperparameter ranges. Autotune will automatically select the hyperparameter ranges on your behalf.

APIs 98

APIs Enterprise Benchmark Metrics 98

AWS Machine Learning

MAY 9, 2023

In this post, we discuss what provisioned concurrency and Application Auto Scaling are, how to use them, and some best practices and guidance for your inference workloads. You can then use that text file when invoking the AWS Command Line Interface (AWS CLI) or the Application Auto Scaling API.

Metrics 99

Metrics Best practices APIs Engineering 99

AWS Machine Learning

JULY 24, 2023

as_trt_engine(output_fpath=trt_path, profiles=profiles) gpt2_trt = GPT2TRTDecoder(gpt2_engine, metadata, config, max_sequence_length=42, batch_size=10) Latency comparison: PyTorch vs. TensorRT JMeter is used for performance benchmarking in this project. implement the model and the inference API. model_fp16.onnx gpt2 and predictor.py

APIs 97

APIs Engineering Construction Benchmark 97

AWS Machine Learning

AUGUST 26, 2024

We organize our prompting best practices into two main categories: Content and structure : Constraint specification – Define content, tone, and format constraints relevant to AWS sales contexts. API design Account summary generation requests are handled asynchronously to eliminate client wait times for responses.

Sales 130

Sales Accountability Feedback Metrics 130

Comm100

NOVEMBER 13, 2022

With this all in mind, this guide will explore customer service from top to bottom, exploring the state of customer service today, revealing best practices, and recommending the best software you can adopt to help your customer service operations become the envy of your competitors. Customer service best practices.

Customer Service 97

Customer Service Chatbots Best practices Surveys 97

Pointillist

JULY 25, 2018

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. 3rd Party APIs: Pointillist has a large number of connectors using 3rd party APIs. Raw data can be sent directly to Pointillist without requiring aggregations or roll-ups of any kind. Getting Data into Pointillist.

Analytics 93

Analytics Government Metrics APIs 93

Comm100

MAY 13, 2019

According to our 2019 Benchmark Report , interactions that include co-browsing – which allows the agent (with permission) to view and interact with a customer’s web browser in real-time – show customer satisfaction rates that are more than six points higher than the average, at 89.3%. Download Now.

CRM 71

CRM Finance Benchmark APIs 71

NICE inContact

MARCH 27, 2018

As revealed by the CX Transformation Benchmark Study : Over two-thirds of all customer service interactions, or total volume, are with live customer service agents (e.g., Here are two reasons why AI will support, not replace, agents and one reason why AI has the potential to possibly replace the contact center agent role. voice or chat).

Contact Center 54

Contact Center Benchmark Self service APIs 54

AWS Machine Learning

NOVEMBER 16, 2023

Enable a data science team to manage a family of classic ML models for benchmarking statistics across multiple medical units. She is driving strategic activities focused on the tools, platforms, and best practices that speed up and scale the development and productization of (Generative) AI-enabled solutions at Philips.

Healthcare 129

Healthcare Government Engineering APIs 129

AWS Machine Learning

SEPTEMBER 26, 2024

This text-to-video API generates high-quality, realistic videos quickly from text and images. The SageMaker option offers several advantages, including easy integration of image generation APIs with video generation endpoints to create end-to-end pipelines. The implementation of AnimateAnyone can be found in this repository.

Scripts 122

Scripts APIs Metrics Management 122