Analytics Vidhya

FEBRUARY 19, 2023

Overall, data pipelines are a critical component of any data-driven organization, helping to ensure […] The post Top 10 Data Pipeline Interview Questions to Read in 2023 appeared first on Analytics Vidhya.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year. You marked your calendars, you booked your hotel, and you even purchased the airfare. And last but not least (and always fun!)

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IBM Journey to AI blog

MARCH 14, 2024

Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation. By using fit-for-purpose databases, customers can efficiently run workloads, using the appropriate engine at the optimal cost to optimize analytics for the best price-performance.

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AWS Machine Learning Blog

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

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Flipboard

NOVEMBER 20, 2024

Prerequisites Before proceeding with this tutorial, make sure you have the following in place: AWS account – You should have an AWS account with access to Amazon Bedrock. For a query like “A strategy game with cool graphics released after 2023?”” it will extract “strategy” (genre) and “2023” (year). get('text').split(':')[0].split(',')[-1].replace('score

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AWS Machine Learning Blog

NOVEMBER 15, 2024

For a qualitative question like “What caused inflation in 2023?”, However, for a quantitative question such as “What was the average inflation in 2023?”, The available data sources are: Stock Prices Database Contains historical stock price data for publicly traded companies. What caused inflation in 2021? Look at the indicators.”

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AWS Machine Learning Blog

APRIL 7, 2025

The following use cases are well-suited for prompt caching: Chat with document By caching the document as input context on the first request, each user query becomes more efficient, enabling simpler architectures that avoid heavier solutions like vector databases. Specifically, it:nn1.

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AWS Machine Learning Blog

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

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AWS Machine Learning Blog

SEPTEMBER 13, 2024

Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. The following diagram illustrates the solution architecture.

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AWS Machine Learning Blog

MARCH 4, 2024

Looking back to 2021, when Anthropic first started building on AWS, no one could have envisioned how transformative the Claude family of models would be. In just a few short months since Amazon Bedrock became generally available on September 28, 2023, more than 10K customers have been using it to deliver, and many of them are using Claude.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

In addition to its groundbreaking AI innovations, Zeta Global has harnessed Amazon Elastic Container Service (Amazon ECS) with AWS Fargate to deploy a multitude of smaller models efficiently. IAM roles : Assign appropriate AWS Identity and Access Management (IAM) roles to the tasks for accessing other AWS resources securely.

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Flipboard

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. When a user asks a question, it searches the vector database and retrieves documents that are most similar to the user’s query.

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IBM Journey to AI blog

JUNE 11, 2024

In November 2023, Broadcom finalized its acquisition (link resides outside ibm.com) of VMware for USD 69 billion, with an aim to enhance its multicloud strategy. Further to the acquisition, Broadcom decided to discontinue (link resides outside ibm.com) its AWS authorization to resell VMware Cloud on AWS as of 30 April 2024.

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IBM Journey to AI blog

JUNE 2, 2023

Why IBM Consulting and AWS? IBM is a Premier Consulting Partner for AWS, with 19,000+ AWS certified professionals across the globe, 16 service validations and 15 AWS competencies—becoming the fastest Global GSI to secure more AWS competencies and certifications among Top-16 AWS Premier GSI’s within 18 months.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

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IBM Journey to AI blog

OCTOBER 30, 2023

In this quest, IBM and AWS have forged a strategic alliance, aiming to transition AI’s business potential from mere talk to tangible action. The AWS-IBM partnership is a symphony of strengths The collaboration between IBM and AWS is more than just a tactical alliance; it’s a symphony of strengths.

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AWS Machine Learning Blog

FEBRUARY 13, 2025

AWS Lambda functions for executing specific actions (such as submitting vacation requests or expense reports). Maira Ladeira Tanke is a Senior Generative AI Data Scientist at AWS. Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build generative AI solutions. Nitin Eusebius is a Sr.

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services.

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AWS Machine Learning Blog

APRIL 8, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. You can query using either the AWS Management Console or SDK. If you want to follow along in your own AWS account, download the file. In the Vector database section, choose Quick create a new vector store.

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AWS Machine Learning Blog

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. Context is retrieved from the vector database based on the user query. Physical stores (2) 22,871." }, "location": { "type": "S3", "s3Location": { "uri": "s3:// /amazon-10k-2023.pdf" billion for 2021, 2022, and 2023.

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AWS Machine Learning Blog

AUGUST 20, 2024

To bridge this gap, you need advanced natural language processing (NLP) to map user queries to database schema, tables, and operations. You can simply ask questions like “What were the sales for outdoor gear in Q3 2023?” Steps 3 and 4 augment the AWS IAM Identity Center integration with Amazon Q Business for an authorization flow.

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Flipboard

FEBRUARY 7, 2025

This post shows you how to set up RAG using DeepSeek-R1 on Amazon SageMaker with an OpenSearch Service vector database as the knowledge base. You will execute scripts to create an AWS Identity and Access Management (IAM) role for invoking SageMaker, and a role for your user to create a connector to SageMaker.

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AWS Machine Learning Blog

JUNE 26, 2024

This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. Action groups – Action groups are interfaces that an agent uses to interact with the different underlying components such as APIs and databases.

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AWS Machine Learning Blog

JUNE 13, 2023

Overall, implementing a modern data architecture and generative AI techniques with AWS is a promising approach for gleaning and disseminating key insights from diverse, expansive data at an enterprise scale. AWS also offers foundation models through Amazon SageMaker JumpStart as Amazon SageMaker endpoints.

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AWS Machine Learning Blog

APRIL 19, 2024

We stored the embeddings in a vector database and then used the Large Language-and-Vision Assistant (LLaVA 1.5-7b) 7b) model to generate text responses to user questions based on the most similar slide retrieved from the vector database. OpenSearch Serverless is an on-demand serverless configuration for Amazon OpenSearch Service.

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AWS Machine Learning Blog

APRIL 26, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With this new capability, you can securely ask questions on single documents, without the overhead of setting up a vector database or ingesting data, making it effortless for businesses to use their enterprise data.

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AWS Machine Learning Blog

JUNE 18, 2024

On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution. As always, AWS welcomes your feedback.

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AWS Machine Learning Blog

MAY 21, 2024

In 2023, we identified several challenges where we see the potential for generative AI to have a positive impact. Our technical solution At 20 Minutes, we’ve been using AWS since 2017, and we aim to build on top of serverless services whenever possible. Amazon DynamoDB serves as the primary database for 20 Minutes articles.

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AWS Machine Learning Blog

JULY 15, 2024

Years ago, Mixbook undertook a strategic initiative to transition their operational workloads to Amazon Web Services (AWS) , a move that has continually yielded significant advantages. The data intake process involves three macro components: Amazon Aurora MySQL-Compatible Edition , Amazon S3, and AWS Fargate for Amazon ECS.

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AWS Machine Learning Blog

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. Choose the AWS Region where you want to create the bucket. Choose Create bucket.

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AWS Machine Learning Blog

MAY 2, 2024

In September of 2023, we announced the launch of Amazon Titan Text Embeddings V1, a multilingual text embeddings model that converts text inputs like single words, phrases, or large documents into high-dimensional numerical vector representations. You can use the model through either the Amazon Bedrock REST API or the AWS SDK.

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AWS Machine Learning Blog

JUNE 21, 2024

In 2023, eSentire was looking for ways to deliver differentiated customer experiences by continuing to improve the quality of its security investigations and customer communications. The additional benefit of SageMaker notebook instances is its streamlined integration with eSentire’s AWS environment. Solutions Architect in AWS.

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AWS Machine Learning Blog

JANUARY 30, 2024

and AWS services including Amazon Bedrock and Amazon SageMaker to perform similar generative tasks on multimodal data. We use OpenSearch Serverless as a vector database for storing embeddings generated by the Titan Multimodal Embeddings model. We also use SageMaker notebooks to orchestrate and demonstrate this solution end to end.

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AWS Machine Learning Blog

JUNE 5, 2024

Skyflow experienced this growth and documentation challenge in early 2023 as it expanded globally from 8 to 22 AWS Regions, including China and other areas of the world such as Saudi Arabia, Uzbekistan, and Kazakhstan. The following figure illustrates how Skyflow deployed VerbaGPT on AWS. Build the RAG pipeline.

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AWS Machine Learning Blog

JULY 1, 2024

In this post, we demonstrate how you can build chatbots with QnAIntent that connects to a knowledge base in Amazon Bedrock (powered by Amazon OpenSearch Serverless as a vector database ) and build rich, self-service, conversational experiences for your customers. Keep the data source location as the same AWS account and choose Browse S3.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

The application sends the user query to the vector database to find similar documents. The QnA application submits a request to the SageMaker JumpStart model endpoint with the user query and context returned from the vector database. Basic familiarity with SageMaker and AWS services that support LLMs.

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AWS Machine Learning Blog

DECEMBER 14, 2023

In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart , a machine learning (ML) hub offering models, algorithms, and solutions. AWS provides a plethora of options and services to facilitate this endeavor.

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