AWS Machine Learning

APRIL 12, 2023

Because we wanted to track the metrics of an ongoing training job and compare them with previous training jobs, we just had to parse this StdOut by defining the metric definitions through regex to fetch the metrics from StdOut for every epoch. amazonaws.com/tensorflow-training:2.11.0-cpu-py39-ubuntu20.04-sagemaker", cpu-py39-ubuntu20.04-sagemaker",

Scripts 108

Scripts APIs Metrics Best practices 108

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. The CUDA API and SDK were first released by NVIDIA in 2007. GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

Benchmark 112

Benchmark Banking Analytics Big data 112

AWS Machine Learning

DECEMBER 8, 2022

For more information about regression and classification problem types, refer to Inference container definitions for regression and classification problem types. To launch an Autopilot job using the SageMaker Boto3 libraries, we use the create_auto_ml_job API. Then we send inference requests to these hosted endpoints.

Banking 98

Banking Benchmark APIs Marketing 98

Fonolo

OCTOBER 4, 2017

We’ll definitely be writing more about that. Banking giant ING recently switched from an Avaya call center to a system built internally using Twilio APIs. Understanding Industry Benchmarks. Oracle is entering the game with “ Customer Engagement Cloud ”. Talkdesk is making strong gains. Wink wink.). More Reading.

Marketing 173

Marketing Call Center Benchmark APIs 173

AWS Machine Learning

NOVEMBER 1, 2024

We discuss the important components of fine-tuning, including use case definition, data preparation, model customization, and performance evaluation. Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well. For the learning rate multiplier, the value ranges between 0.1–2.0,

Best practices 96

Best practices APIs Finance Engineering 96

AWS Machine Learning

JUNE 5, 2023

Autotune uses best practices as well as internal benchmarks for selecting the appropriate ranges. Autotune automatically chooses the optimal configurations for your tuning job, helps prevent wasted resources, and accelerates productivity. Autotune will automatically select the hyperparameter ranges on your behalf.

APIs 98

APIs Enterprise Benchmark Metrics 98

AWS Machine Learning

JUNE 24, 2022

The generated models are stored and benchmarked in the Amazon SageMaker model registry. A SageMaker pipeline is a series of interconnected steps (SageMaker processing jobs, training, HPO) that is defined by a JSON pipeline definition using a Python SDK. This pipeline definition encodes a pipeline using a Directed Acyclic Graph (DAG).

Enterprise 120

Enterprise Engineering Accountability APIs 120

Cincom

APRIL 15, 2025

The customer experience management definition extends beyond traditional customer serviceit is an enterprise-wide strategy that integrates AI, automation, and real-time analytics to optimize every interaction across digital and physical touchpoints. Establish benchmarks to track improvements over time.

Customer Experience 40

Customer Experience Management Chatbots CRM 40

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. For this post, we use the trtexec CLI tool. Generating serialized engines from models.

Engineering 101

Engineering APIs Best practices Scripts 101

AWS Machine Learning

SEPTEMBER 13, 2022

To validate the drawbacks of this existing MVP architecture, Medidata performed some initial benchmarking to understand and prioritize the bottlenecks of this pipeline. The definition of a bulk request here corresponds to a payload that is a collection of operational site data to be processed rather than a single instance of a request.

Engineering 99

Engineering Benchmark APIs Management 99

AWS Machine Learning

JANUARY 20, 2023

After cycles of research and initial benchmarking efforts, CCC determined SageMaker was a perfect fit to meet a majority of their production requirements, especially the guaranteed uptime SageMaker provides for most of its inference components. Step-by-step solution Step 1 A client makes a request to the AWS API Gateway endpoint.

APIs 94

APIs Engineering Telecommunications Construction 94

RichCall

SEPTEMBER 13, 2017

Check out what recent reports and experts suggest, and take part in a contact center benchmarking survey to get more accurate data on the current contact center trends. Global Contact Centre Benchmarking Report, Dimension Data 2017. Dimension Data’s 2016 Global Contact Centre Benchmarking Report, © Dimension Data 2013-2016.

Contact Center 64

Contact Center Technology Benchmark Chatbots 64

AWS Machine Learning

OCTOBER 27, 2022

Our benchmarks show up to 46% price performance benefit after enabling heterogeneous clusters in a CPU-bound TensorFlow computer vision model training. Performance benchmark results. For more information, refer to Using the SageMaker Python SDK and Using the Low-Level SageMaker APIs. Heterogeneous clusters at Mobileye.

Scripts 97

Scripts Benchmark Metrics Transportation 97

AWS Machine Learning

AUGUST 26, 2024

Role context – Start each prompt with a clear role definition. This involves benchmarking new models against our current selections across various metrics, running A/B tests, and gradually incorporating high-performing models into our production pipeline. For example, “You are an AWS Account Manager preparing for a customer meeting.”

Sales 127

Sales Accountability Feedback Metrics 127

AWS Machine Learning

MAY 7, 2024

To deploy a model from SageMaker JumpStart, you can use either APIs, as demonstrated in this post, or use the SageMaker Studio UI. The trend continued with Jane from Australia, who on Nov 12th requested a shipment of ten high-definition monitors with total of $9000, emphasizing the need for environmentally friendly packaging.

Engineering 122

Engineering Chatbots Technical Support Best practices 122

AWS Machine Learning

SEPTEMBER 1, 2023

Generative AI definitions and differences to MLOps In classic ML, the preceding combination of people, processes, and technology can help you productize your ML use cases. If an organization has no AI/ML experts in their team, then an API service might be better suited for them. Only prompt engineering is necessary for better results.

Engineering 125

Engineering Accountability Construction Government 125

Whitepages Pro

JANUARY 25, 2016

Before you start evaluating data sources, you need to establish an internal definition of accuracy for the type of data you’re looking for, then determine how you will measure that accuracy. From there, you’ll know how to benchmark the data sources you’re reviewing. These two qualities can sometimes be at odds (e.g., While the U.S.

APIs 40

APIs Marketing Benchmark Engineering 40

JustCall

FEBRUARY 28, 2024

And when you think about the range of features the latter offers at $49 per user per month — all 3 dialers, bulk SMS campaigns and workflows, live call monitoring , advanced analytics and reporting, API and webhooks, live call monitoring, and so much more, it is simply astounding. How are JustCall’s Sales Dialer and Mojo Dialer different?

Real estate 52

Real estate CRM APIs Sales 52

JustCall

MARCH 9, 2023

Conversational AI enables the system to perform end-to-end actions through Application Programming Interfaces (API). You can compare your reps’ performance with industry benchmarks across industries and roles. There’s no definite pricing for conversation intelligence software. These features facilitate more autonomous tasks.

Coaching 52

Coaching Sales Chatbots Analytics 52

SmartKarrot

SEPTEMBER 22, 2022

Once you have a benchmark that can be decided according to the industry you are in, measuring your NPS frequently will help you to monitor and track progress to avoid a high churn rate and improve retention. However, working towards an NPS between 50-80 is definitely a great achievement for any business.

Surveys 10

Surveys Feedback Benchmark APIs 10

AWS Machine Learning

NOVEMBER 29, 2023

Each trained model needs to be benchmarked against many tasks not only to assess its performances but also to compare it with other existing models, to identify areas that needs improvements and finally, to keep track of advancements in the field. These benchmarks have leaderboards that can be used to compare and contrast evaluated models.

Benchmark 117

Benchmark Metrics Engineering APIs 117

SmartKarrot

JANUARY 6, 2022

But, before that, let us look at the definition of conversation intelligence. With any software mentioned in this list, you can run quicker call QA, deliver personalized SDR coaching, and enhance conversation outcomes like improved CSAT, higher NPS, better sales, etc. What is conversation intelligence?

Coaching 10

Coaching SaaS Benchmark Feedback 10

AWS Machine Learning

JANUARY 22, 2025

This was accomplished by using foundation models (FMs) to transform natural language into structured queries that are compatible with our products GraphQL API. For example, what if the model generates a filter with a key not supported by our API? Translate it to a GraphQL API request. Validate the JSON schema on the response.

APIs 110

APIs Benchmark Engineering Enterprise 110

AWS Machine Learning

APRIL 4, 2025

Benchmark comparisons show Amazon Nova Pro matching or even surpassing GPT-4o on complex reasoning tasks, according to section 2.1.1 You can find these benchmark results in section 2.1.2 You need to reframe your use case definition. OpenAIs function calling uses flexible JSON schemas to define and structure API interactions.

APIs 110

APIs Benchmark Best practices Engineering 110

AWS Machine Learning

APRIL 7, 2025

Sonnet, along with Nova Micro, Nova Lite, and Nova Pro models, lowers response latency by up to 85% and reduces costs up to 90% by caching frequently used prompts across multiple API calls. By caching the system prompts and complex tool definitions, the time to process each step in the agentic flow can be reduced. Haiku and Claude 3.7

APIs 131

APIs Metrics Benchmark Management 131

AWS Machine Learning

APRIL 28, 2025

However, as industries require more adaptive, decision-making AI, integrating tools and external APIs has become essential. Expanding LLM capabilities with tool use LLMs excel at natural language tasks but become significantly more powerful with tool integration, such as APIs and computational frameworks.

APIs 78

APIs Benchmark Scripts Metrics 78

AWS Machine Learning

NOVEMBER 22, 2024

Dataset The dataset for this post is manually distilled from the Amazon Science evaluation benchmark dataset called TofuEval. Refer to the evaluation metrics section for accuracy definition) This continues for N(=3 in this notebook) rounds. Details on the exact dataset can be found in the GitHub repository.

Consulting 103

Consulting Consulting APIs Calibration 103

AWS Machine Learning

FEBRUARY 27, 2025

This approach not only establishes new benchmarks for medical RAG evaluation, but also provides practitioners with practical tools to build more reliable and accurate healthcare AI applications that can be trusted in clinical settings. No definite pneumonia.

Healthcare 80

Healthcare Metrics Engineering Benchmark 80