AWS Machine Learning

MARCH 4, 2024

It can navigate open-ended prompts, and novel scenarios with remarkable fluency, including task automation, hypothesis generation, and analysis of charts, graphs, and forecasts. Media organizations can generate image captions or video scripts automatically. And Sonnet is first available on Amazon Bedrock today.

Benchmark 142

Benchmark Finance Engineering Enterprise 142

AWS Machine Learning

MAY 3, 2023

wheels and set the previously mentioned environment variables # Clone PyTorch benchmark repo git clone [link] # Setup Resnet50 benchmark cd benchmark python3 install.py On successful completion of the inference runs, # the script prints the inference latency and accuracy results python3 run.py

Benchmark 93

Benchmark Best practices Scripts Management 93

AWS Machine Learning

APRIL 26, 2024

Code generation DBRX models demonstrate benchmarked strengths for coding tasks. user Write a Python script to read a CSV file containing stock prices and plot the closing prices over time using Matplotlib. The file should have columns named 'Date' and 'Close' for this script to work correctly.

Transportation 118

Transportation Scripts Accountability Benchmark 118

AWS Machine Learning

MAY 29, 2024

LMMs have the potential to profoundly impact various industries, such as healthcare, business analysis, autonomous driving, and so on. Without this fine-grained visual understanding, the language model is constrained to more superficial, high-level analysis and generation capabilities related to images.

Scripts 122

Scripts Healthcare Metrics Finance 122

AWS Machine Learning

MAY 10, 2023

We cover computer vision (CV), natural language processing (NLP), classification, and ranking scenarios for models and ml.c6g, ml.c7g, ml.c5, and ml.c6i SageMaker instances for benchmarking. You can use the sample notebook to run the benchmarks and reproduce the results. Create an endpoint configuration.

Benchmark 89

Benchmark Best practices Engineering Scripts 89

AWS Machine Learning

JUNE 17, 2024

For more information on the TPC-H data, its database entities, relationships, and characteristics, refer to TPC Benchmark H. We use a preprocessing script to connect and query data from a PrestoDB instance using the user-specified SQL query in the config file. For more information on processing jobs, see Process data.

Scripts 115

Scripts Engineering Metrics Big data 115

Enghouse Interactive

JULY 29, 2021

of business executives (2020 NTT/DiData Customer Experience Benchmarking Study), see the customer experience that their organizations provide as a key differentiator and the number one indicator of their overall strategic leadership. And it may be no more than an innocent, off-script comment that causes the issue.

Scripts 97

Scripts Contact Center Benchmark CRM 97

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). If the use case doesnt yield discrete outputs, task-specific metrics are more appropriate.

Education 100

Education Engineering APIs Enterprise 100

NobelBiz

JULY 25, 2023

Transcription Services: Tools automatically transcribe voice interactions into text, making them ready for further analysis. Chat Logs & Emails: Every typed interaction is stored, allowing analytics tools to scour them for patterns, keywords, and sentiment analysis. Analysis: The Deep Dive The analysis is where the magic happens.

Analytics 98

Analytics Call Center Contact center software Scripts 98

AWS Machine Learning

JUNE 6, 2023

This post further walks through a step-by-step implementation of fine-tuning a RoBERTa (Robustly Optimized BERT Pretraining Approach) model for sentiment analysis using AWS Deep Learning AMIs (AWS DLAMI) and AWS Deep Learning Containers (DLCs) on Amazon Elastic Compute Cloud (Amazon EC2 p4d.24xlarge) torch.compile + bf16 + fused AdamW.

Scripts 79

Scripts APIs Benchmark Management 79

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 81

APIs Scripts Metrics Benchmark 81

AWS Machine Learning

JANUARY 10, 2023

It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don’t have to manage servers. We first benchmark the performance of our model on a single instance to identify the TPS it can handle per our acceptable latency requirements.

Best practices 83

Best practices Scripts APIs Metrics 83

AWS Machine Learning

MARCH 20, 2023

Refer to the appendix for instance details and benchmark data. Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. Benchmark data The following table compares the cost and relative performance between c5 and c6 instances.

Calibration 88

Calibration Scripts Benchmark APIs 88

AWS Machine Learning

JANUARY 19, 2024

The concepts illustrated in this post can be applied to applications that use PLM features, such as recommendation systems, sentiment analysis, and search engines. The task assigned to the BERT PLM can be a text-based task such as sentiment analysis, text classification, or Q&A. training.py ).

Metrics 115

Metrics Scripts Benchmark Enterprise 115

AWS Machine Learning

FEBRUARY 27, 2024

This was the perfect place to start for our prototype—not only would Axfood gain a new AI/ML platform, but we would also get a chance to benchmark our ML capabilities and learn from leading AWS experts. If discrepancies arise, a business logic within the postprocessing script assesses whether retraining the model is necessary.

Best practices 130

Best practices Engineering Scripts Analytics 130

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. You can build logic in your training script to assign the instance groups to certain training and data processing tasks.

Scripts 79

Scripts Benchmark Metrics Transportation 79

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 79

Self service Contact Center Benchmark Chatbots 79

AWS Machine Learning

SEPTEMBER 26, 2024

The method is trained on a dataset of video clips and achieves state-of-the-art results on fashion video and human dance synthesis benchmarks, demonstrating its ability to animate arbitrary characters while maintaining appearance consistency and temporal stability. The implementation of AnimateAnyone can be found in this repository.

Scripts 112

Scripts APIs Metrics Management 112

GetFeedback

AUGUST 14, 2019

Flip the script on your results and use that as a motivator. But if you are just starting to explore customer feedback in general, this is a simple way to get started and then benchmark against in the future. Review and benchmark CSAT at several points along the journey. That alone is a powerful way to use CSAT.

Metrics 109

Metrics Journey mapping Surveys Coaching 109

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. Composer is available via pip : pip install mosaicml.

Scripts 87

Scripts Enterprise Benchmark APIs 87

AWS Machine Learning

JANUARY 13, 2023

For benchmark analysis, we considered the task of predicting the in-hospital mortality of patients [2]. You can place the data in any folder of your choice, as long as the path is consistently referenced in the training script and has access enabled. Import the data loader into the training script. and data_loader.py

Analytics 81

Analytics Healthcare Scripts Accountability 81

Outsource Consultants

JANUARY 27, 2025

Strategies to Improve Customer Satisfaction KPIs: Clearly define each metric and establish benchmarks. Benchmark: Many organizations aim for an AHT of 480 seconds (8 minutes), depending on industry standards. Industry Standard: The 80/20 rule (80% of calls answered within 20 seconds) is a common benchmark.

Contact Center 67

Contact Center Abandon rate Average Handle Time outsourcing 67

AWS Machine Learning

JUNE 1, 2023

The demand for multi-object tracking (MOT) in video analysis has increased significantly in many industries, such as live sports, manufacturing, and traffic monitoring. Since its introduction in 2021, ByteTrack remains to be one of best performing methods on various benchmark datasets, among the latest model developments in MOT application.

Scripts 89

Scripts Best practices Benchmark Accountability 89

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. training script. On a text classification problem, this leads to an additional boost in accuracy of approximately 5% compared to the default model.

Benchmark 88

Benchmark Metrics APIs Scripts 88

AWS Machine Learning

FEBRUARY 12, 2025

He also builds tools to help his team tackle various aspects of the LLM development life cycleincluding fine-tuning, benchmarking, and load-testingthat accelerating the adoption of diverse use cases for AWS customers. in Physics from the University of Iowa, with a focus on astronomical X-ray analysis and instrumentation development.

APIs 74

APIs Management Benchmark Scripts 74

aircall

OCTOBER 18, 2016

Satisfied customers and great customer service result from a cycle of data collection, analysis, training, and improvement. Look into benchmarking. The benchmarking process is a continuous loop. The benchmarking process is a continuous loop. For some businesses, benchmarking and maintaining quality can be a challenge.

Best practices 48

Best practices Call Center Customer Service Scripts 48

AWS Machine Learning

NOVEMBER 16, 2022

Amazon Rekognition is a service that makes it simple to perform different types of visual analysis on your applications. The deployments are done using bash scripts, and in this case we use the following command: bash malware_detection_deployment_scripts/deploy.sh -s ' ' -b 'malware- detection- -artifacts' -p -r " " -a.

Scripts 87

Scripts Metrics Accountability Benchmark 87

aircall

DECEMBER 16, 2016

Call center monitoring is the continuous process of data collection, analysis, and feedback. The recording process is handled by dedicated software, but the analysis and decision-making are more often than not performed by professional data analysts. then gain insight from it, and then implement change relative to that insight.

Call Center 82

Call Center call center software Abandon rate virtual call center 82

AWS Machine Learning

SEPTEMBER 20, 2022

Even if you already have a pre-trained model, it may still be easier to use its corollary in SageMaker and input the hyperparameters you already know rather than port it over and write a training script yourself. The training and inference scripts for the selected model or algorithm. Benchmarking the trained models.

Scripts 78

Scripts Metrics Telecommunications Benchmark 78

Comm100

DECEMBER 16, 2019

Report: 2019 Live Chat Benchmark Report. Keep an eye out for the 2020 Live Chat Benchmark Report coming out in January or subscribe and be the first to get it. and clearly defines key related terms like decision trees, natural language processing (NLP), machine learning (ML), and sentiment analysis. Demystifying chatbots and AI.

Chatbots 52

Chatbots Benchmark Scripts Best practices 52

Calltools

FEBRUARY 16, 2022

There is no benchmark that determines whether your CPA is good enough or not. This may involve additional training for your agents, reviewing your sales script, or considering other marketing techniques such as offers and discounts. Analysis of KPI metrics can reveal areas for improvement, such as: A poor quality lead list.

Metrics 52

Metrics Scripts Sales CRM 52

AWS Machine Learning

AUGUST 22, 2024

Snowflake Arctic is a family of enterprise-grade large language models (LLMs) built by Snowflake to cater to the needs of enterprise users, exhibiting exceptional capabilities (as shown in the following benchmarks ) in SQL querying, coding, and accurately following instructions.

Enterprise 117

Enterprise APIs Benchmark Scripts 117

Comm100

MARCH 7, 2019

Sentiment Analysis: An automated process that allows a chatbot to extract verbal cues from chats to determine the mood and feelings of a visitor and adapt responses accordingly. Decision Tree: An “If this… then that” framework that guides the customer to choose from a list of pre-defined scripts and options.

Chatbots 73

Chatbots Scripts Technology Benchmark 73

JustCall

APRIL 26, 2022

Moment Analysis. Call recordings are analyzed for important moments that indicate whether reps are following or deviating from their call plan/script. Sentiment Analysis. Conversation intelligence software provides sentiment analysis based on voice tone, word choice, and other cues. Analytics and Benchmarking.

Coaching 52

Coaching Benchmark Sales Outbound sales 52

AWS Machine Learning

MARCH 14, 2024

You can use few-shot prompting for a variety of tasks, such as sentiment analysis, entity recognition, question answering, translation, and code generation. Their research indicates that zero-shot CoT, using the same single-prompt template, significantly outperforms zero-shot FM performances on diverse benchmark reasoning tasks.

Best practices 123

Best practices Engineering Chatbots Enterprise 123

AWS Machine Learning

NOVEMBER 7, 2022

Overview of exploratory data analysis (EDA) and data preparation in Data Wrangler. Import required packages for data analysis and visualization. In Data Wrangler, you can choose a smaller instance type for certain transformations or analysis and then upscale the instance to a larger type and carry out complex transformations.

Best practices 77

Best practices Engineering Analytics Benchmark 77

AWS Machine Learning

OCTOBER 2, 2024

Laying the groundwork: Collecting ground truth data The foundation of any successful agent is high-quality ground truth data—the accurate, real-world observations used as reference for benchmarks and evaluating the performance of a model, algorithm, or system. To achieve thorough testing, consider using AI to generate diverse test cases.

Best practices 93

Best practices APIs Metrics Accountability 93