AWS Machine Learning

OCTOBER 24, 2024

Broadly speaking, a retriever is a module that takes a query as input and outputs relevant documents from one or more knowledge sources relevant to that query. Document ingestion In a RAG architecture, documents are often stored in a vector store. You must use the same embedding model at ingestion time and at search time.

Chatbots 85

Chatbots Metrics Scripts APIs 85

AWS Machine Learning

MAY 31, 2024

Training on SageMaker We use PyTorch and Amazon SageMaker script mode to train this model. Script mode’s compatibility with PyTorch was crucial, allowing us to use our existing scripts with minimal modifications. After you have defined your training script, you can configure and submit a SageMaker training job.

Biotechnology 109

Biotechnology Scripts Healthcare APIs 109

Callminer

JANUARY 18, 2021

Encourage agents to cheer up callers with more flexible scripting. “A 2014 survey suggested that 69% of customers feel that their call center experience improves when the customer service agent doesn’t sound as though they are reading from a script. They are an easy way to track metrics and discover trends within your agents.

Best practices 226

Best practices Call Center Contact Center Scripts 226

ProProfs Blog

APRIL 17, 2020

But without numbers or metric data in hand, coming up with any new strategy would only consume your valuable time. For example, you need access to metrics like NPS, average response time and others like it to make sure you come up with relevant strategies that help you retain more customers. So, buckle up. 1: Customer Churn Rate. #2:

Metrics 142

Metrics Customer retention SaaS Surveys 142

AWS Machine Learning

AUGUST 24, 2023

SageMaker Profiler provides Python modules for annotating PyTorch or TensorFlow training scripts and activating SageMaker Profiler. You can also use optional custom annotations to add markers in the training script to visualize hardware activities during particular operations in each step. For more information, refer to documentation.

Scripts 90

Scripts Metrics Finance Enterprise 90

AWS Machine Learning

OCTOBER 23, 2024

For instance, when developing a medical search engine, obtaining a large dataset of real user queries and relevant documents is often infeasible due to privacy concerns surrounding personal health information. These PDFs will serve as the source for generating document chunks.

Metrics 82

Metrics APIs Scripts Engineering 82

AWS Machine Learning

JUNE 17, 2024

Batch transform The batch transform pipeline consists of the following steps: The pipeline implements a data preparation step that retrieves data from a PrestoDB instance (using a data preprocessing script ) and stores the batch data in Amazon Simple Storage Service (Amazon S3). The evaluation step uses the evaluation script as a code entry.

Scripts 124

Scripts Engineering Metrics Big data 124

Spearline

JULY 21, 2022

Consequently, no other testing solution can provide the range and depth of testing metrics and analytics. And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. Happy days! You can check framerate information for video here too.

Scripts 98

Scripts APIs Metrics Analytics 98

AWS Machine Learning

SEPTEMBER 26, 2024

Customizable environment – SageMaker HyperPod offers the flexibility to customize your cluster environment using lifecycle scripts. These scripts allow you to install additional frameworks, debugging tools, and optimization libraries tailored to your specific needs. accelerate launch train_stage_1.py py --config configs/train/stage1.yaml

Scripts 121

Scripts APIs Metrics Management 121

AWS Machine Learning

MAY 10, 2023

It provides a suite of tools for visualizing training metrics, examining model architectures, exploring embeddings, and more. TensorFlow and PyTorch projects both endorse and use TensorBoard in their official documentation and examples. is your training script, and simple_tensorboard.ipynb launches the SageMaker training job.

Scripts 86

Scripts Metrics Construction APIs 86

AWS Machine Learning

JULY 25, 2024

The node recovery agent is a separate component that periodically checks the Prometheus metrics exposed by the node problem detector. Additionally, the node recovery agent will publish Amazon CloudWatch metrics for users to monitor and alert on these events. You can see the CloudWatch NeuronHasError_DMA_ERROR metric has the value 1.

Construction 116

Construction Metrics Scripts Engineering 116

AWS Machine Learning

OCTOBER 2, 2024

None None To open a new banking account with ANY_BANK Corporation, you need to gather the following information and documentation: 1. Complete the following steps when integrating a knowledge base with Amazon Bedrock : Index your documents into a vector database using Amazon Bedrock Knowledge Bases.

Best practices 99

Best practices APIs Metrics Benchmark 99

AWS Machine Learning

OCTOBER 23, 2023

We use the standard engineered features as input into the interaction encoder and feed the SBERT derived embedding into the query encoder and document encoder. Document encoder – The document encoder processes the information of each job listing. This provides a metric of how attractive a particular job or company might be.

Engineering 116

Engineering Metrics Scripts Construction 116

AWS Machine Learning

NOVEMBER 14, 2024

For example, a use case that’s been moved from the QA stage to pre-production could be rejected and sent back to the development stage for rework because of missing documentation related to meeting certain regulatory controls. These stages are applicable to both use case and model stages. To get started, set-up a name for your experiment.

Government 92

Government Management APIs Accountability 92

AWS Machine Learning

NOVEMBER 10, 2023

Additionally, you need to define which underlying metric fits best for your task and you want to optimize for (such as accuracy, F1 score, or ROC). How does the combination of certain hyperparameter values influence my performance metric? We opted for providing our own Python script and using Scikit-learn as our framework.

Scripts 116

Scripts Metrics Feedback Enterprise 116

Interaction Metrics

SEPTEMBER 9, 2024

Determine the Baseline: Document the status quo by: Examining a statistically significant corpus of your emails, chats, and call recordings. Mystery shopping your company to document what happens when critical issues occur. While these are guidelines, not word for word scripts, you need to be specific and show copious examples.

Customer Service 62

Customer Service Advertising Best practices Metrics 62

AWS Machine Learning

MARCH 20, 2023

Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. To access the code and documentation, refer to the GitHub repo. py scripts for testing. Create a Docker image to deploy the model in SageMaker using the BYOC approach.

Calibration 91

Calibration Scripts Benchmark APIs 91

AWS Machine Learning

APRIL 19, 2024

Solution overview In this section, we present a generic architecture that is similar to the one we use for our own workloads, which allows elastic deployment of models using efficient auto scaling based on custom metrics. The reverse proxy collects metrics about calls to the service and exposes them via a standard metrics API to Prometheus.

Metrics 126

Metrics APIs Scripts Construction 126

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. Metrics to track. Before we can get into load testing, it’s essential to understand what metrics to track to understand the performance breakdown of your SageMaker endpoint.

Best practices 88

Best practices Scripts APIs Metrics 88

AWS Machine Learning

SEPTEMBER 30, 2024

Refer to the SageMaker JupyterLab documentation to set up and launch a JupyterLab notebook. To evaluate the question answering task, we use the metrics F1 Score, Exact Match Score, Quasi Exact Match Score, Precision Over Words, and Recall Over Words. The FMEval library supports these metrics for the QA Accuracy algorithm.

APIs 89

APIs Real estate Accountability Metrics 89

AWS Machine Learning

APRIL 17, 2024

Metrics allow teams to understand workload behavior and optimize resource allocation and utilization, diagnose anomalies, and increase overall infrastructure efficiency. Metrics are exposed to Amazon Managed Service for Prometheus by the neuron-monitor DaemonSet, which deploys a minimal container, with the Neuron tools installed.

APIs 124

APIs Metrics Accountability Management 124

AWS Machine Learning

NOVEMBER 22, 2024

Hugging Face PEFT is where the integration happens, and you can read more about it in the PEFT documentation. This is recommended if you’d like to visualize model training specific metrics. The example does the adapter merge and inference both in the same launch script “merge_model_adapter.py.” 24xlarge on Amazon SageMaker.

Scripts 57

Scripts APIs Construction Engineering 57

JustCall

APRIL 15, 2024

Excessive workload strict metrics 2. Focus on quality over quantity metrics 6. The pressure to meet strict metrics, handle high call volumes, and provide top-notch customer service makes call centers incredibly demanding. They are forced to rigidly follow scripts and procedures. Repetitive tasks 3. Manageable workloads 2.

Call Center 52

Call Center Agent burnout Scripts Metrics 52

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 122

Metrics Scripts Benchmark Enterprise 122

AWS Machine Learning

NOVEMBER 1, 2024

Intelligent responses and a direct conduit to Druva’s documentation – Users can gain in-depth knowledge about product features and functionalities without manual searches or watching training videos. Then it passes the sample data and the user question to an FM and responds with a Python script that transforms data to answer the question.

APIs 111

APIs Scripts Engineering Government 111

AWS Machine Learning

AUGUST 3, 2022

Amazon Comprehend is a natural-language processing (NLP) service you can use to automatically extract entities, key phrases, language, sentiments, and other insights from documents. All you need to do is load your dataset of documents and annotations, and use the Amazon Comprehend console, AWS CLI, or APIs to create the model.

Benchmark 79

Benchmark APIs Metrics Scripts 79

CSM Magazine

APRIL 17, 2024

Providing extensive online support documentation can help customers with commonly asked questions to increase bandwidth and support downstream workflows as needed. Understand Inputs and Outputs People analytics and customer service systems provide countless metrics that can help you assess the balance of efforts vs. outcomes.

Customer Service 59

Customer Service Scripts Banking Analytics 59

AWS Machine Learning

MAY 22, 2023

You can monitor performance metrics such as training and validation loss using Amazon CloudWatch during training. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document. Use Amazon Comprehend to create new products based on understanding the structure of documents.

APIs 114

APIs Scripts Metrics Accountability 114

AWS Machine Learning

SEPTEMBER 8, 2023

OpenSearch Service allows you to store vectors and other data types in an index, and offers rich functionality that allows you to search for documents using vectors and measuring the semantical relatedness, which we use in this post. OpenSearch Service is a fully managed service that makes it simple to deploy, scale, and operate OpenSearch.

APIs 123

APIs Scripts Entertainment Personalization 123

Fonolo

DECEMBER 15, 2022

The Executive Guide to Improving 6 Contact Center Metrics. Keep them up to date on new policies, best customer support practices, adjustments to the call center script, and more. As a contact center leader, it’s easy to get caught up in high-level metrics and reports. Improve the Customer Journey.

Call Center 138

Call Center Contact center software Abandon rate Self service 138

AWS Machine Learning

AUGUST 14, 2023

Enterprise search is a critical component of organizational efficiency through document digitization and knowledge management. Enterprise search covers storing documents such as digital files, indexing the documents for search, and providing relevant results based on user queries. Initialize DocumentStore and index documents.

Enterprise 81

Enterprise Scripts Best practices Analytics 81

AWS Machine Learning

MARCH 1, 2023

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

APIs 80

APIs Metrics Accountability Scripts 80

AWS Machine Learning

NOVEMBER 20, 2023

A typical RAG solution for knowledge retrieval from documents uses an embeddings model to convert the data from the data sources to embeddings and stores these embeddings in a vector database. When a user asks a question, it searches the vector database and retrieves documents that are most similar to the user’s query.

APIs 124

APIs Entertainment Accountability Customer Experience 124

AWS Machine Learning

APRIL 23, 2024

Performance Optimization – Choosing the appropriate resources, implementing caching strategies, and proactively monitoring performance metrics ensure that applications deliver fast and accurate responses, leading to optimal performance and an enhanced user experience. For latest information, please refer to the documentation above.

APIs 129

APIs Enterprise Scripts Accountability 129

Totango

JUNE 24, 2022

The digital nature of SaaS customer experience means that success outcomes are defined primarily in terms of digital, measurable key performance indicators, such as product usage metrics. Onboarding metrics, such as average time-to-value. Adoption metrics , such as license utilization. Here are five keys to doing it right.

Best practices 106

Best practices SaaS Journey mapping B2C 106

AWS Machine Learning

AUGUST 30, 2023

Radiology reports are comprehensive, lengthy documents that describe and interpret the results of a radiological imaging examination. For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization.

Healthcare 134

Healthcare APIs Metrics Scripts 134

AWS Machine Learning

NOVEMBER 15, 2024

For automatic model evaluation jobs, you can either use built-in datasets across three predefined metrics (accuracy, robustness, toxicity) or bring your own datasets. For early detection, implement custom testing scripts that run toxicity evaluations on new data and model outputs continuously.

APIs 103

APIs Government Best practices Metrics 103