AWS Machine Learning - AI

FEBRUARY 26, 2024

In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda. Overview of solution The first thing to consider is that different metrics require different computation considerations. The function invokes the modules.

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TechCrunch

APRIL 15, 2021

As companies create machine learning models, the operations team needs to ensure the data used for the model is of sufficient quality, a process that can be time consuming. Why AWS is building tiny AI race cars to teach machine learning. Bigeye (formerly Toro), an early stage startup is helping by automating data quality.

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AWS Machine Learning - AI

MARCH 20, 2025

Amazon Bedrock offers fine-tuning capabilities that allow you to customize these pre-trained models using proprietary call transcript data, facilitating high accuracy and relevance without the need for extensive machine learning (ML) expertise. In addition, traditional ML metrics were used for Yes/No answers.

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AWS Machine Learning - AI

DECEMBER 4, 2024

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. This includes setting up Amazon API Gateway , AWS Lambda functions, and Amazon Athena to enable querying the structured sales data.

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TechCrunch

MAY 3, 2022

Edge Delta aims its tools at DevOps, site-reliability engineers and security teams — groups that focus on analyzing logs, metrics, events, traces and other large data troves, often in real time, to do their work. “Our special sauce is in this distributed mesh network of agents,” Unlu said.

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TechCrunch

JUNE 29, 2021

Forum’s technology employs “advanced” algorithms and over 60 million data points to populate brand information into a central platform in real time, instantly scoring brands and generating accurate financial metrics. The M&A team also uses data to contact brand owners “in just three clicks.”

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TechCrunch

MARCH 30, 2022

How it says it differs from rivals: Tuva uses machine learning to further develop its technology. They’re using that experience to help digital health companies get their data ready for analytics and machine learning. GrowthBook says it solves this by using a company’s existing data infrastructure and business metrics.

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AWS Machine Learning - AI

MAY 30, 2024

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. A Lambda function with business logic invokes the primary Lambda function.

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AWS Machine Learning - AI

MARCH 5, 2025

With deterministic evaluation processes such as the Factual Knowledge and QA Accuracy metrics of FMEval , ground truth generation and evaluation metric implementation are tightly coupled. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

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AWS Machine Learning - AI

APRIL 24, 2024

Additionally, you can access device historical data or device metrics. The device metrics are stored in an Athena DB named "iot_ops_glue_db" in a table named "iot_device_metrics". For direct device actions like start, stop, or reboot, we use the action-on-device action group, which invokes a Lambda function.

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AWS Machine Learning - AI

MAY 7, 2024

Hugging Face is an open-source machine learning (ML) platform that provides tools and resources for the development of AI projects. Every time a new recording is uploaded to this folder, an AWS Lambda Transcribe function is invoked and initiates an Amazon Transcribe job that converts the meeting recording into text.

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AWS Machine Learning - AI

SEPTEMBER 6, 2024

They used the following services in the solution: Amazon Bedrock Amazon DynamoDB AWS Lambda Amazon Simple Storage Service (Amazon S3) The following diagram illustrates the high-level workflow of the current solution: The workflow consists of the following steps: The user navigates to Vidmob and asks a creative-related query.

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AWS Machine Learning - AI

AUGUST 15, 2024

The solution is extensible, uses AWS AI and machine learning (ML) services, and integrates with multiple channels such as voice, web, and text (SMS). The Content Designer AWS Lambda function saves the input in Amazon OpenSearch Service in a questions bank index. He lives with his wife and dog (Figaro), in New York, NY.

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AWS Machine Learning - AI

APRIL 11, 2024

We use the following key components: Embeddings – Embeddings are numerical representations of real-world objects that machine learning (ML) and AI systems use to understand complex knowledge domains like humans do. An Amazon S3 object notification event invokes the embedding AWS Lambda function.

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AWS Machine Learning - AI

MARCH 7, 2025

This action invokes an AWS Lambda function to retrieve the document embeddings from the OpenSearch Service database and present them to Anthropics Claude 3 Sonnet FM, which is accessed through Amazon Bedrock. In the future, Verisk intends to use the Amazon Titan Embeddings V2 model.

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AWS Machine Learning - AI

AUGUST 21, 2024

Visualization – Generate business intelligence (BI) dashboards that display key metrics and graphs. These metrics can be tracked over time, allowing for continuous monitoring and performance to maintain or improve the customer experience. Review Lambda quotas and function timeout to create batches.

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AWS Machine Learning - AI

OCTOBER 2, 2024

You can securely integrate and deploy generative AI capabilities into your applications using services such as AWS Lambda , enabling seamless data management, monitoring, and compliance (for more details, see Monitoring and observability ). To learn more, see Log Amazon Bedrock API calls using AWS CloudTrail.

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AWS Machine Learning - AI

MARCH 27, 2024

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. The zAdviser uses Amazon Bedrock to provide summarization, analysis, and recommendations for improvement based on the DORA metrics data. It’s also vital to avoid focusing on irrelevant metrics or excessively tracking data.

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DevOps Enterprise Artificial Inteligence Generative AI 119

Linux Academy

DECEMBER 5, 2019

The article discusses several topics, such as how to find ideal timeout settings based upon latency metrics, retry methodologies (such as exponential backoff), and jitter considerations (and how this impacts retry methodology). Athena executes federated queries using Athena Data Source Connectors that run on AWS Lambda.

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AWS Machine Learning - AI

SEPTEMBER 20, 2024

If required, the agent invokes one of two Lambda functions to perform a web search: SerpAPI for up-to-date events or Tavily AI for web research-heavy questions. The Lambda function retrieves the API secrets securely from Secrets Manager, calls the appropriate search API, and processes the results.

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AWS Machine Learning - AI

AUGUST 26, 2024

The solution uses AWS AI and machine learning (AI/ML) services, including Amazon Transcribe , Amazon SageMaker , Amazon Bedrock , and FMs. Step Functions supports direct optimized integration with Amazon Bedrock, so we don’t need to have a Lambda function in the middle to create the ASL gloss.

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Honeycomb

MARCH 5, 2024

In this post, I describe how to send OpenTelemetry (OTel) data from an AWS Lambda instance to Honeycomb. I will be showing these steps using a Lambda written in Python and created and deployed using AWS Serverless Application Model (AWS SAM). Add OTel and Honeycomb environment variables to your template configuration for your Lambda.

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AWS Machine Learning - AI

AUGUST 26, 2024

This includes sales collateral, customer engagements, external web data, machine learning (ML) insights, and more. This involves benchmarking new models against our current selections across various metrics, running A/B tests, and gradually incorporating high-performing models into our production pipeline.

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Hacker Earth Developers Blog

SEPTEMBER 24, 2018

In this blog, we will extend our learning and will dive deeper into the YOLO algorithm. We will learn topics such as intersection over area metrics, non maximal suppression, multiple object detection, anchor boxes, etc. To calculate this metric, we need: The ground truth bounding boxes (i.e. find the max number of boxes.

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AWS Machine Learning - AI

DECEMBER 6, 2023

When answering a new question in real time, the input question is converted to an embedding, which is used to search for and extract the most similar chunks of documents using a similarity metric, such as cosine similarity, and an approximate nearest neighbors algorithm. The search precision can also be improved with metadata filtering.

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AWS Machine Learning - AI

JULY 30, 2024

An AWS Lambda function fetches the YouTube videos from the playlist as audio (mp3 files) into the YTMediaBucket and also creates a metadata file in the MetadataFolderPrefix location with metadata for the YouTube video. For example, if the number of videos is set to 5, then the YTIndexer will index the five latest videos in the playlist.

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Media Lambda AWS Video 113

Cloudera

MARCH 22, 2023

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. There are many logs and metrics, and they are all over the place.

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AWS Machine Learning - AI

SEPTEMBER 30, 2024

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 out-of-the-box evaluation algorithms for metrics such as accuracy, QA Accuracy, and others detailed in the FMEval documentation.

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Mentormate

MAY 12, 2020

AutoScaling can be manually triggered or triggered by a metric like average CPU usage. Scaling can be scheduled ahead of time and one of the latest features, Predictive Scaling for EC2 , is even powered by machine learning algorithms. Reserved Instances is another useful tool for companies willing to make long-term commitments.

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AWS Machine Learning - AI

DECEMBER 22, 2023

A comprehensive suite of evaluation metrics, including both LLM-based and traditional metrics available in TruLens, allows you to measure your app against criteria required for moving your application to production. In production, these logs and evaluation metrics can be processed at scale with TruEra production monitoring.

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AWS Machine Learning - AI

MARCH 19, 2024

The resulting Amazon S3 events trigger a Lambda function that inserts a message to an SQS queue. Lambda function B. When evaluating performance metrics, a solutions architect discovered that the database reads are causing high I/O and adding latency to the write requests against the database. SQS queue C. EC2 instance D.

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Performance Lambda Technical Review AWS 133

O'Reilly Media - Ideas

APRIL 3, 2019

Learn new topics and refine your skills with more than 150 new live online training courses we opened up for April and May on the O'Reilly online learning platform. AI and machine learning. Deep Learning from Scratch , April 19. Beginning Machine Learning with Pytorch , May 1. Blockchain.

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AWS Machine Learning - AI

SEPTEMBER 25, 2024

After the documents are successfully copied to the S3 bucket, the event automatically invokes an AWS Lambda The Lambda function invokes the Amazon Bedrock knowledge base API to extract embeddings—essential data representations—from the uploaded documents. The upload event invokes a Lambda function.

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Knowledge Base Artificial Inteligence Analysis AWS 119

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

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Linux Academy

NOVEMBER 6, 2019

AWS Certified Machine Learning – Specialty. Trigger an AWS Lambda Function from an S3 Event. Enabling OpenShift metrics and logging on Azure . Setting Up Lambda Functions with S3 Event Triggers. Testing and Debugging Lambda Functions. Google Cloud Apigee Certified API Engineer. Hands-On Labs Released.

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Google Cloud Linux Azure AWS 16

Mobilunity

MAY 2, 2025

Use AWS Cost Anomaly Detection uses Machine Learning to compute thresholds based on historical spend, distinguishing true anomalies from regular fluctuations Algorithm Selection. EC2, S3, Lambda) that adapt to weekly and monthly patterns to minimize false positives. cost per customer or feature) and delivers realtime alerts.

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Cloud Google Cloud Systems Review Budget 40

Netflix Tech

MAY 21, 2019

In our quest to be objective, scientific, and inline with the Netflix philosophy of using data to drive solutions for intriguing problems, we proceeded by leveraging machine learning. To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda.

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