AWS Machine Learning

JULY 24, 2023

Patsnap provides a global one-stop platform for patent search, analysis, and management. 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.

APIs 66

APIs Engineering Construction Benchmark 66

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. Amazon Rekognition makes it easy to add image and video analysis into our applications, using proven, highly scalable, deep learning technology.

APIs 84

APIs Benchmark Government Analytics 84

AWS Machine Learning

MARCH 20, 2023

Refer to the appendix for instance details and benchmark data. Quantizing the model in PyTorch is possible with a few APIs from Intel PyTorch extensions. Benchmark data The following table compares the cost and relative performance between c5 and c6 instances. times greater with INT8 quantization. 2xLarge-FP32 70 110.8

Calibration 77

Calibration Scripts Benchmark APIs 77

ProProfs Blog

OCTOBER 25, 2021

Real-Time Response Collection and Analysis. The flagship feature of Qualaroo is sentiment analysis. AI-powered sentiment analysis to track customer sentiments and opinions. Other exciting features of this tool include sentimental analysis, keyword tracking, emotion analysis, and more. Pricing: Custom Pricing. (d)

Feedback 148

Feedback Surveys Enterprise Analytics 148

AWS Machine Learning

JUNE 29, 2022

Syne Tune allows us to find a better hyperparameter configuration that achieves a relative improvement between 1-4% compared to default hyperparameters on popular GLUE benchmark datasets. Furthermore, we add another callback function to Hugging Face’s Trainer API that reports the validation performance after each epoch back to Syne Tune.

Benchmark 75

Benchmark Metrics APIs Scripts 75

AWS Machine Learning

OCTOBER 24, 2022

The plentiful and jointly trained parameters of DL models have a large representational capacity that brought improvements in numerous customer use cases, including image and speech analysis, natural language processing (NLP), time series processing, and more. Speedup techniques implemented in Composer can be accessed with its functional API.

Scripts 76

Scripts APIs Enterprise Benchmark 76

JustCall

MARCH 9, 2023

Sentiment Analysis Sales reps often struggle to determine how their customers feel about them and their company. Conversation intelligence software provides sentiment analysis based on voice tone, word choice, and other cues. You can compare your reps’ performance with industry benchmarks across industries and roles.

Coaching 52

Coaching Sales Chatbots Analytics 52

ProProfs Blog

DECEMBER 17, 2021

On top of that, Qualaroo’s Sentiment Analysis enables businesses to automatically identify the sentiments, keywords, and emotional scores of the customer feedback. With advanced reporting, you take deep dives into the data for perfect analysis of user feedback. Unique features include: Branding. Branching logic. Alerts & triggers.

Feedback 78

Feedback Surveys APIs Customer centricity 78

Enghouse Interactive

OCTOBER 21, 2020

As noted in the 2019 Dimension Data Customer Experience (CX) Benchmarking report: 88% of contact center decision-makers expect self-service volumes to increase over the next 12 months. Agents will be presented with increasingly more complex situations which will require more engagement, insight and analysis. Act on the results.

Self service 76

Self service Contact Center Benchmark Chatbots 76

JustCall

APRIL 18, 2023

It comes with advanced features like real-time call transcription, AI scoring, moment analysis, sentiment analysis, coaching insights, and live agent assist. Leverage situational prompts and assistance from AI based on sentiment analysis of the prospects. Coach them in real-time with an endless feedback loop.

call center software 52

call center software Call Center call center solutions Enterprise 52

AWS Machine Learning

DECEMBER 6, 2022

The Trainer class provides an API for feature-complete training in PyTorch. We observe that the adversarial trained model has a lower ASR, with an 62.21% decrease using the original model ASR as the benchmark. AWS offers pre-trained AWS AI services that can be integrated into applications using API calls and require no ML experience.

Engineering 73

Engineering APIs Construction Metrics 73

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

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 68

Scripts Benchmark Metrics Transportation 68

AWS Machine Learning

SEPTEMBER 20, 2022

As is explained in the post Amazon SageMaker JumpStart models and algorithms now available via API , the following artifacts are required to train a pre-built algorithm via the SageMaker SDK: Its framework-specific container image, containing all the required dependencies for training and inference. Benchmarking the trained models.

Scripts 68

Scripts Metrics Telecommunications APIs 68

NobelBiz

FEBRUARY 15, 2023

Integration with your current software (CRM, API etc.) Reliable data from a wide range of analysis and reporting tools that provide real-time and historical information that you can customize to create comprehensive performance and customer history reports. All unified in one easy-to-use desktop application.

Call Center 52

Call Center Scripts Average Handle Time Customer effort 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. If an organization has no AI/ML experts in their team, then an API service might be better suited for them. 15K available FM reference Step 1.

Engineering 98

Engineering Accountability Construction APIs 98

AWS Machine Learning

JUNE 24, 2022

The generated models are stored and benchmarked in the Amazon SageMaker model registry. This might be a triggering mechanism via Amazon EventBridge , Amazon API Gateway , AWS Lambda functions, or SageMaker Pipelines. Application infrastructure – Hosts the source code of the infrastructure necessary to run the inference, if necessary.

Enterprise 85

Enterprise Engineering Accountability APIs 85

AWS Machine Learning

OCTOBER 5, 2022

To assess different features and how they might influence the model, we conducted extensive feature analysis as part of the exploratory phase. Collectively, this resulted in over 100 features created using a combination of available and derived techniques. We used a mix of univariate tests and multivariate tests.

Calibration 89

Calibration Engineering Automotive Analytics 89

AWS Machine Learning

JANUARY 29, 2024

This post explores these relationships via a comprehensive benchmarking of LLMs available in Amazon SageMaker JumpStart, including Llama 2, Falcon, and Mistral variants. We provide theoretical principles on how accelerator specifications impact LLM benchmarking. Additionally, models are fully sharded on the supported instance.

Benchmark 90

Benchmark APIs Enterprise Accountability 90

AWS Machine Learning

MAY 15, 2024

Acting as a model hub, JumpStart provided a large selection of foundation models and the team quickly ran their benchmarks on candidate models. Regarding the inference, customers using Amazon Ads now have a new API to receive these generated images. The Amazon API Gateway receives the PUT request (step 1).

Advertising 97

Advertising APIs Engineering Benchmark 97

AWS Machine Learning

MAY 2, 2024

A common way to select an embedding model (or any model) is to look at public benchmarks; an accepted benchmark for measuring embedding quality is the MTEB leaderboard. The Massive Text Embedding Benchmark (MTEB) evaluates text embedding models across a wide range of tasks and datasets.

Benchmark 97

Benchmark Metrics Enterprise APIs 97

AWS Machine Learning

OCTOBER 6, 2022

Other built-in algorithms include text analysis and image processing. We trained this model from scratch with the default hyperparameters, so we could have a benchmark to evaluate the rest of the models. You can use built-in algorithms for either classification or regression problems, or for a variety of unsupervised learning tasks.

Metrics 81

Metrics APIs Benchmark Accountability 81

ChurnZero

MARCH 18, 2022

The last company I ran, we sold to the VP of financial planning and analysis. What’s up with you making less API calls this month? To hear more of Dave and You Mon’s thoughts on the usage and benchmarking of the most common SaaS metrics – from ARR and logo retention to GRR and LTV/CAC ratio – watch the webinar now.

SaaS 98

SaaS Metrics Enterprise Surveys 98

AWS Machine Learning

JUNE 29, 2022

Over time, various NLP techniques for text analysis have also evolved. This necessitates the requirement for a fully managed service that can be integrated into applications using API calls without the need for extensive machine learning (ML) expertise. Set up the AWS CLI and AWS SDKs. Optional) Set up your Cloud9 IDE environment.

Metrics 72

Metrics Telecommunications APIs Benchmark 72

AWS Machine Learning

APRIL 22, 2024

These examples include speeding up market trend analysis, ensuring accurate risk management and compliance, and facilitating data collection or report generation. You can use resources such as the Amazon Sustainability Data Initiative or the AWS Data Exchange to simplify and expedite the acquisition and analysis of comprehensive datasets.

Best practices 106

Best practices Benchmark Transportation Engineering 106

Whitepages Pro

JANUARY 25, 2016

Be prepared that prospective vendors will likely want to do their own analysis for you, but at the end of the day, it’s the accuracy that you measure that is most important. From there, you’ll know how to benchmark the data sources you’re reviewing. From there, run your evaluation and see how it compares. While the U.S.

APIs 40

APIs Marketing Benchmark Engineering 40

SmartKarrot

JANUARY 6, 2022

Conversation intelligence ensures that 100% of calls are covered for analysis instead of the random selection done by most organizations. Moment Analysis – defines key moments and automatically brings calls in front. Individual Performance – gives a detailed analysis of each representative that attends customer calls.

Coaching 10

Coaching SaaS Benchmark Feedback 10

AWS Machine Learning

NOVEMBER 9, 2022

Your application simply needs to include an API call with the target model to this endpoint to achieve low-latency, high-throughput inference. For an A/B test to be considered successful, you need to perform a statistical analysis of the metrics gathered from the test to determine if there is a statistically significant result.

Best practices 52

Best practices Construction Metrics Enterprise 52

JustCall

APRIL 5, 2023

8×8 provides solutions for VoIP calls, video conferencing, APIs for SMS and chat, and so on, and also integrates with third-party solutions like Microsoft Teams, Salesforce, Google Workspace, and Freshdesk. Nextiva Pricing Plans Essential – $17.95 per user, per month Professional – $21.95

voip 52

voip Enterprise Interactive Voice Response CRM 52

AWS Machine Learning

MARCH 13, 2024

Now, let’s look at latency and throughput performance benchmarking for model serving with the default JumpStart deployment configuration. For more information on how to consider this information and adjust deployment configurations for your specific use case, see Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart.

Benchmark 101

Benchmark Scripts APIs Feedback 101

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. With text analysis for open-ended questions you can quickly find problems your customers have faced and even the positive remarks too.

Surveys 10

Surveys Feedback Benchmark APIs 10

AWS Machine Learning

NOVEMBER 22, 2023

Split documents into single pages for specific FeatureType processing – FeatureType is a parameter for the Document Analysis API calls (both synchronous and asynchronous ) in Amazon Textract. AWS Cost Explorer – Configure AWS Cost Explorer for your workload and accounts to visualize your cost data for further analysis.

Finance 78

Finance Best practices APIs Accountability 78

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. It’s serverless, so you don’t have to manage any infrastructure.

Healthcare 100

Healthcare Engineering APIs Benchmark 100

AWS Machine Learning

FEBRUARY 6, 2023

The former question addresses model selection across model architectures, while the latter question concerns benchmarking trained models against a test dataset. This post provides details on how to implement large-scale Amazon SageMaker benchmarking and model selection tasks. swin-large-patch4-window7-224 195.4M efficientnet-b5 29.0M

APIs 70

APIs Scripts Metrics Benchmark 70

CSM Magazine

JANUARY 11, 2016

APIs can be hooked up and performance metrics and social data can be overlaid with CRM systems for traditional channels. It found there was no benchmark standard and the decision should be driven by use case. Businesses need a robust strategic approach to setting up and evolving customer engagement onsocial channels.

Customer Service 40

Customer Service Contact Center Accountability APIs 40

AWS Machine Learning

APRIL 10, 2023

For benchmark performance figures, refer to AWS Neuron Performance. Currently, it has examples for the GPT2, GPT-J, and OPT model types, and different model sizes that have their forward functions re-implemented in a compiled language for extensive code analysis and optimizations. This is particularly useful for large language models.

Engineering 71

Engineering APIs Benchmark Advertising 71

AWS Machine Learning

MARCH 14, 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 via a single API. Kojima et al. 2022) introduced an idea of zero-shot CoT by using FMs’ untapped zero-shot capabilities.

Best practices 99

Best practices Engineering Chatbots Enterprise 99