AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. This post is the first in a two-part series.

Analytics 69

Analytics Engineering APIs Metrics 69

NobelBiz

APRIL 23, 2024

Real-time feedback mechanisms are also in place in many call centers, allowing debtors to rate their interaction immediately after a call. This feedback is invaluable for continuously improving service quality and agent performance. With NobelBiz Omni+ you don’t just make or take calls.

Customer centricity 94

Customer centricity Contact Center Technology Telemarketing 94

AWS Machine Learning

AUGUST 14, 2023

Prompt engineering for zero-shot and few-shot NLP tasks on BLOOM models Prompt engineering deals with creating high-quality prompts to guide the model towards the desired responses. Prompt engineering can greatly improve the performance of zero-shot and few-shot learning models. Question: When was NLP Cloud founded?

Engineering 71

Engineering APIs Chatbots Scripts 71

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 124

Best practices Government Engineering Accountability 124

aircall

JUNE 11, 2021

Feedback — responses from the receiver based on the sender’s message and communication. 2015 — An open API (applied programming interface) technology was invented to allow software applications to sync and share data between them. Here’s what to look for: Are they reading call scripts verbatim and in a monotone voice?

voip 62

voip APIs Call Center Telecommunications 62

AWS Machine Learning

NOVEMBER 16, 2022

Automated deployment options have been improved and simplified using Kustomize scripts and Helm charts. This script automates creation of the following AWS resources: VPCs and EKS clusters. Kartik Kalamadi is a Software Development Engineer at Amazon AI. Rahul Kharse is a Software Development Engineer at Amazon Web Services.

Metrics 67

Metrics Scripts Enterprise APIs 67

Call Journey

OCTOBER 20, 2018

The answer is simple: businesses are investing in capturing and analyzing customer feedback. This trend is further spurred by the API economy and a rise of marketplaces such as AppFoundry, offering specialized, highly sophisticated, yet light solutions. Agent Script Adherence. Agent Sentiment and Emotion. Trending keywords.

Scripts 45

Scripts Customer emotions Engineering industry standards 45

AWS Machine Learning

APRIL 11, 2023

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs 70

APIs Accountability Scripts Enterprise 70

AWS Machine Learning

APRIL 29, 2024

This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

APIs 100

APIs Engineering Scripts Management 100

AWS Machine Learning

APRIL 23, 2024

Each step requires waiting for remote compute resources to start up, which delays validating implementations and getting feedback on changes. You can run the script by choosing Run in Code Editor or using the CLI in a JupyterLab terminal. The only way to access and interact with Docker images is via the exposed Docker API operations.

Scripts 98

Scripts APIs Engineering Feedback 98

AWS Machine Learning

JULY 29, 2022

The SageMaker Python SDK provides open-source APIs and containers to train and deploy models on SageMaker, using several different ML and deep learning frameworks. Build your training script for the Hugging Face SageMaker estimator. script to use with Script Mode and pass hyperparameters for training. to(device).

Scripts 82

Scripts APIs Big data Engineering 82

AWS Machine Learning

JUNE 23, 2023

FastAPI is a modern, high-performance web framework for building APIs with Python. Its ease and built-in functionalities like the automatic API documentation make it a popular choice amongst ML engineers to deploy high-performance inference APIs. To build this image locally, we need Docker. file later in this post.

APIs 87

APIs Scripts Engineering Accountability 87

AWS Machine Learning

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback. Sort the revenues in descending order.

Analytics 103

Analytics APIs Engineering Construction 103

AWS Machine Learning

DECEMBER 22, 2023

Amazon Bedrock is a fully managed service that makes leading FMs from AI companies available through an API along with developer tooling to help build and scale generative AI applications. The primary objective of prompt engineering is to elicit specific and accurate responses from the FM. The agent uses Anthropic Claude 2.1

Scripts 100

Scripts Chatbots Accountability Multi-channel support 100

AWS Machine Learning

NOVEMBER 30, 2023

The function then searches the OpenSearch Service image index for images matching the celebrity name and the k-nearest neighbors for the vector using cosine similarity using Exact k-NN with scoring script. Go to the CloudFormation console, choose the stack that you deployed through the deploy script mentioned previously, and delete the stack.

Scripts 95

Scripts APIs Entertainment Accountability 95

AWS Machine Learning

FEBRUARY 12, 2024

Finally, the team’s aspiration was to receive immediate feedback on each change made in the code, reducing the feedback loop from minutes to an instant, and thereby reducing the development cycle for ML models. Evaluate – A PySpark processing job evaluates the model using a custom Spark script.

Engineering 112

Engineering Wait times Metrics Accountability 112

AWS Machine Learning

DECEMBER 5, 2023

Amazon Comprehend custom classification API is used to organize your documents into categories (classes) that you define. In this post, the CDE logic invokes the custom APIs of Amazon Comprehend to enrich the documents with identified classes and entities. The Lambda function has permissions to call the Amazon Comprehend APIs only.

APIs 100

APIs Enterprise Accountability Healthcare 100

AWS Machine Learning

AUGUST 4, 2022

This is a guest post by Viktor Enrico Jeney, Senior Machine Learning Engineer at Adspert. The repricing ML model is a Scikit-Learn Random Forest implementation in SageMaker Script Mode, which is trained using data available in the S3 bucket (the analytics layer). Amount of feedback for each seller. In the training_script.py

Scripts 91

Scripts Advertising Engineering Analytics 91

AWS Machine Learning

MARCH 13, 2024

. * The `if __name__ == "__main__"` block checks if the script is being run directly or imported. To run the script, you can use the following command: ``` python hello.py ``` * The output will be printed in the console: ``` Hello, world! ) # For the other hyperparameters, see the GitHub notebook attached in this blog.

Benchmark 109

Benchmark Scripts APIs Feedback 109

AWS Machine Learning

MAY 8, 2023

To serve models, Triton supports various backends as engines to support the running and serving of various ML models for inference. With kernel auto-tuning, the engine selects the best algorithm for the target GPU, maximizing hardware utilization. Import the ONNX model into TensorRT and generate the TensorRT engine.

Engineering 83

Engineering APIs Best practices Scripts 83

AWS Machine Learning

AUGUST 10, 2023

In addition to the SageMaker native events, AWS CloudTrail publishes events when you make API calls, which also streams to EventBridge so that this can be utilized by many downstream automation or monitoring use cases. Additionally, you need the following: Node.js Input Description Example Home Region The Region where the workloads run.

Scripts 78

Scripts Accountability Metrics APIs 78

AWS Machine Learning

MAY 31, 2023

The endpoint comes pre-loaded with the model and ready to serve queries via an easy-to-use API and Python SDK, so you can hit the ground running. Q: Can I see the model weights and scripts of proprietary models in preview with Amazon SageMaker JumpStart? Proprietary models do not allow customers to view model weights and scripts.

Scripts 69

Scripts Engineering Accountability APIs 69

NobelBiz

APRIL 9, 2024

Call Center Monitoring: Real-time call center monitoring allows supervisors to oversee agent performance, ensure compliance with regulations, and provide immediate feedback. Well-crafted scripts help agents navigate conversations effectively while maintaining compliance with regulatory requirements. appeared first on NobelBiz.

Call Center 104

Call Center Telemarketing Healthcare Government 104

AWS Machine Learning

OCTOBER 24, 2022

DL scripts often require boilerplate code, notably the aforementioned double for loop structure that splits the dataset into minibatches and the training into epochs. Speedup techniques implemented in Composer can be accessed with its functional API. Composer is available via pip : pip install mosaicml. About the authors.

Scripts 77

Scripts APIs Enterprise Benchmark 77

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. Then the payload is passed to the SageMaker endpoint invoke API via the BotoClient to simulate real user requests. training.py ).

Metrics 99

Metrics Scripts Benchmark Enterprise 99

AWS Machine Learning

NOVEMBER 23, 2022

Complete the following steps: Download the bootstrap script from s3://emr-data-access-control- /customer-bootstrap-actions/gcsc/replace-rpms.sh , replacing region with your region. Your Studio user’s execution role needs to be updated to allow the GetClusterSessionCredentials API action. SNAPSHOT20221121212949.noarch.rpm. noarch.rpm.

Scripts 78

Scripts APIs Engineering Sales 78

AWS Machine Learning

MAY 3, 2023

This post mainly covers the second use case by presenting how to back up and recover users’ work when the user and space profiles are deleted and recreated, but we also provide the Python script to support the first use case. This script updates the replication field given the domain and profile name in the table.

Scripts 60

Scripts APIs Accountability Engineering 60

AWS Machine Learning

MAY 9, 2023

Triton supports various backends as engines to support the running and serving of various ML models for inference. Inference requests arrive at the server via either HTTP/REST or by the C API and are then routed to the appropriate per-model scheduler. Running the bash script create_hf_env.sh base}/sagemaker-tritonserver:23.02-py3".format(

APIs 82

APIs Scripts Best practices Enterprise 82

AWS Machine Learning

NOVEMBER 16, 2023

SageMaker Data Wrangler is purpose-built to simplify the process of data preparation and feature engineering. script that matches the model’s expected input and output. Without writing code, and within a few clicks, SageMaker Canvas provides rich, visual feedback on model performance.

Real estate 88

Real estate APIs Scripts Accountability 88

AWS Machine Learning

SEPTEMBER 9, 2022

Example components of the standardized tooling include a data ingestion API, security scanning tools, the CI/CD pipeline built and maintained by another team within athenahealth, and a common serving platform built and maintained by the MLOps team. You can follow the AWS Labs GitHub repository to track all AWS contributions to Kubeflow.

Engineering 75

Engineering Healthcare APIs Scripts 75

JivoChat

APRIL 23, 2023

The chatbot had built-in scripts which enabled it to answer questions about a specific subject. Instead of using a search engine to find the content the customer is looking for on your website, they will ask for it from the chatbot. Or you can connect to another platform via our API. JivoChat Partners: Dahi.ai Chatme Plantt.

Chatbots 75

Chatbots B2C Self service Banking 75

Pointillist

JULY 25, 2018

Those Users that the Stakeholders trust for unvarnished feedback should have enough hands-on experience to be able to provide meaningful feedback. Treating every change to customer data as an event saves work for data engineers, as no transformation is required. Success Metrics for the Project. The Types of Events.

Analytics 93

Analytics Government APIs Metrics 93

Tenfold - Contact Center Blog

DECEMBER 28, 2017

With automated, real-time monitoring of voice pitch, scripting, and key words on social, SMS or chat, call center operations can intercept negative customer interactions and provide a high level of service as incidents occur. CTI offers simple APIs, allowing you to integrate it with existing software like your CRM, helpdesk and database.

call center workforce 54

call center workforce Call Center Technology Management 54

Pointillist

JULY 25, 2018

Those Users that the Stakeholders trust for unvarnished feedback should have enough hands-on experience to be able to provide meaningful feedback. Treating every change to customer data as an event saves work for data engineers, as no transformation is required. Data in any format may be uploaded to this endpoint.

Analytics 43

Analytics Metrics Government Journey mapping 43

AWS Machine Learning

NOVEMBER 29, 2023

Data scientists collaborate with ML engineers to transition code from notebooks to repositories, creating ML pipelines using Amazon SageMaker Pipelines, which connect various processing steps and tasks, including pre-processing, training, evaluation, and post-processing, all while continually incorporating new production data.

Benchmark 84

Benchmark Metrics Engineering APIs 84

AWS Machine Learning

NOVEMBER 1, 2023

The TGI framework underpins the model inference layer, providing RESTful APIs for robust integration and effortless accessibility. Supplementing our auditory data processing, the Whisper ASR is also furnished with a RESTful API, enabling streamlined voice-to-text conversions.

APIs 94

APIs Engineering Construction Scripts 94