AWS Machine Learning

MAY 2, 2024

As new embedding models are released with incremental quality improvements, organizations must weigh the potential benefits against the associated costs of upgrading, considering factors like computational resources, data reprocessing, integration efforts, and projected performance gains impacting business metrics.

Benchmark 105

Benchmark Metrics Enterprise APIs 105

ChurnZero

NOVEMBER 5, 2021

To learn how ChurnZero helps customers comply with privacy laws, check out our documentation on ChurnZero’s API for privacy laws compliance. How has your Customer Success software influenced company-wide metrics such as Net Revenue Retention (NRR), Net Promoter Score® (NPS), and Customer Lifetime Value (CLTV)?

Accountability 52

Accountability CRM APIs Benchmark 52

ChurnZero

NOVEMBER 5, 2021

To learn how ChurnZero helps customers comply with privacy laws, check out our documentation on ChurnZero’s API for privacy laws compliance. How has your Customer Success software influenced company-wide metrics such as Net Revenue Retention (NRR), Net Promoter Score® (NPS), and Customer Lifetime Value (CLTV)?

Accountability 52

Accountability CRM APIs Benchmark 52

AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. Models with larger context windows can understand and generate longer sequences of text, which can be useful for tasks involving longer conversations or documents.

Engineering 106

Engineering Accountability Construction APIs 106

AWS Machine Learning

MAY 17, 2024

What is Mixtral 8x22B Mixtral 8x22B is Mistral AI’s latest open-weights model and sets a new standard for performance and efficiency of available foundation models , as measured by Mistral AI across standard industry benchmarks. making the model available for exploring, testing, and deploying.

APIs 64

APIs Benchmark Personalization Enterprise 64

AWS Machine Learning

APRIL 22, 2024

These include the ability to analyze massive amounts of data, identify patterns, summarize documents, perform translations, correct errors, or answer questions. This involves documenting data lineage, data versioning, automating data processing, and monitoring data management costs.

Best practices 114

Best practices Benchmark Transportation Engineering 114

AWS Machine Learning

MAY 7, 2024

Tasks such as routing support tickets, recognizing customers intents from a chatbot conversation session, extracting key entities from contracts, invoices, and other type of documents, as well as analyzing customer feedback are examples of long-standing needs. We also examine the uplift from fine-tuning an LLM for a specific extractive task.

Engineering 92

Engineering Technical Support Chatbots Best practices 92

AWS Machine Learning

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. Define goals and metrics – The function needs to deliver value to the organization in different ways.

Finance 83

Finance Best practices APIs Accountability 83

AWS Machine Learning

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. These metrics will assess how well a machine-generated summary compares to one or more reference summaries.

Healthcare 108

Healthcare Engineering APIs Benchmark 108

AWS Machine Learning

NOVEMBER 30, 2023

Customers have to leave their development environment to use academic tools and benchmarking sites, which require highly-specialized knowledge. The sheer number of metrics make it hard to filter down to ones that are truly relevant for their use-cases. The aggregated score is a number between 0 (worst) and 1 (best) for each metric.

Construction 90

Construction Metrics industry standards APIs 90

AWS Machine Learning

DECEMBER 1, 2022

They show the usage of various SageMaker and JumpStart APIs. This notebook demonstrates how to deploy AlexaTM 20B through the JumpStart API and run inference. NTM is most commonly used to discover a user-specified number of topics shared by documents within a text corpus. This is called zero-shot in-context learning.

APIs 90

APIs Benchmark Advertising Banking 90

AWS Machine Learning

JANUARY 19, 2024

Another example might be a healthcare provider who uses PLM inference endpoints for clinical document classification, named entity recognition from medical reports, medical chatbots, and patient risk stratification. The performance of the architecture is typically measured using metrics such as validation loss. training.py ).

Metrics 100

Metrics Scripts Benchmark Enterprise 100

AWS Machine Learning

JANUARY 10, 2023

From there, we dive into how you can track and understand the metrics and performance of the SageMaker endpoint utilizing Amazon CloudWatch metrics. We first benchmark the performance of our model on a single instance to identify the TPS it can handle per our acceptable latency requirements. Metrics to track.

Best practices 72

Best practices Scripts APIs Metrics 72

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. The TensorRT_backend repo contains the documentation and source for the backend.

Engineering 84

Engineering APIs Best practices Scripts 84

Xaqt

JUNE 22, 2020

Most cloud based Contact Center providers provide documented APIs to access your data, while with many legacy contact center vendors, it's still a challenge to get your data out of their reporting tools or platforms. It often requires additional licensing, or developing a custom application against their APIs to extract the data.

Call Center 52

Call Center Contact Center Analytics Engineering 52

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

Comm100

MAY 7, 2019

Can integrations and APIs be used to connect the platform to other systems, making deep personalisation automatic? image or document sharing)? What are the customer satisfaction benchmarks for this platform? What kind of data is provided and does it provide the right insights to create more personalized experiences?

APIs 59

APIs Benchmark Wait times Customer Experience 59

AWS Machine Learning

JUNE 6, 2023

The following figure shows a performance benchmark of fine-tuning a RoBERTa model on Amazon EC2 p4d.24xlarge inference with AWS Graviton processors for details on AWS Graviton-based instance inference performance benchmarks for PyTorch 2.0. We added the following argument to the trainer API in train_sentiment.py DLAMI + DLC.

Scripts 69

Scripts APIs Benchmark Management 69

JustCall

APRIL 18, 2023

Based on these metrics, you can make data-aware decisions regarding which leads require a follow-up and when. JustCall IQ is a key proposition of JustCall, enabling call centers with AI capabilities that fuel their sales metrics and set newer benchmarks. Recommended Read: What is Conversation Intelligence?

call center software 52

call center software Call Center call center solutions Enterprise 52

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 65

APIs Engineering Telecommunications Construction 65

aircall

FEBRUARY 8, 2021

Set realistic goals as a benchmark for forecasting reasonable goals in the future. A cloud-based phone system offers dashboard analytics that gives you metrics such as the number of inbound calls and outbound calls and the average call length. A sales plan provides a way to document your sales goals.

Sales 62

Sales call center software Best practices Call Center 62

Pointillist

JULY 25, 2018

Success Metrics for the Team Champion – It is important for the champion to understand thoroughly the value of customer journey analytics as an analytics platform and believe that the regular users have built proficiency to use the platform meaningfully on a regular basis. Pick a mix of financial, customer and operational metrics.

Analytics 43

Analytics Metrics Government Journey mapping 43

Comm100

MAY 7, 2019

Can integrations and APIs be used to connect the platform to other systems, making deep personalisation automatic? image or document sharing)? What are the customer satisfaction benchmarks for this platform? What kind of data is provided and does it provide the right insights to create more personalized experiences?

APIs 40

APIs Benchmark Wait times Best practices 40

AWS Machine Learning

SEPTEMBER 28, 2023

In this post, we describe the enhancements to the forecasting capabilities of SageMaker Canvas and guide you on using its user interface (UI) and AutoML APIs for time-series forecasting. While the SageMaker Canvas UI offers a code-free visual interface, the APIs empower developers to interact with these features programmatically.

APIs 94

APIs Construction Finance Enterprise 94

AWS Machine Learning

JUNE 12, 2023

An extensible retrieval system enabling you to augment bot responses with information from a document repository, API, or other live-updating information source at inference time. To search the Wikipedia documents for relevant text, the index needs to be downloaded from Hugging Face because it’s not packaged elsewhere.

Chatbots 78

Chatbots APIs Engineering Enterprise 78