AWS Machine Learning Blog

NOVEMBER 18, 2024

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. Amazon Bedrock also offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning Blog

JUNE 3, 2024

Kinesis Video Streams makes it straightforward to securely stream video from connected devices to AWS for analytics, machine learning (ML), playback, and other processing. Amazon Bedrock is a fully managed service that provides access to a range of high-performing foundation models from leading AI companies through a single API.

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AWS Machine Learning Blog

APRIL 19, 2024

We used AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless in this solution. In this series, we use the slide deck Train and deploy Stable Diffusion using AWS Trainium & AWS Inferentia from the AWS Summit in Toronto, June 2023 to demonstrate the solution.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon EventBridge listens to this event, and then initiates an AWS Step Functions step. 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.

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AWS Machine Learning Blog

JANUARY 30, 2024

With the advent of generative AI, today’s foundation models (FMs), such as the large language models (LLMs) Claude 2 and Llama 2, can perform a range of generative tasks such as question answering, summarization, and content creation on text data. Setting k=1 retrieves the most relevant slide to the user question.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Independent software vendors (ISVs) like Druva are integrating AI assistants into their user applications to make software more accessible. Dru , the Druva backup AI copilot, enables real-time interaction and personalized responses, with users engaging in a natural conversation with the software.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

Generative AI models for coding companions are mostly trained on publicly available source code and natural language text. Formally, often k-nearest neighbors (KNN) or approximate nearest neighbor (ANN) search is often used to find other snippets with similar semantics.

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AWS Machine Learning Blog

JANUARY 6, 2023

Many AWS media and entertainment customers license IMDb data through AWS Data Exchange to improve content discovery and increase customer engagement and retention. We downloaded the data from AWS Data Exchange and processed it in AWS Glue to generate KG files. Background. Solution overview. Launch solution resources.

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Flipboard

FEBRUARY 7, 2025

DeepSeek-R1 is a powerful and cost-effective AI model that excels at complex reasoning tasks. This example provides a solution for enterprises looking to enhance their AI capabilities. An AWS account You will need to be able to create an OpenSearch Service domain and two SageMaker endpoints.

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AWS Machine Learning Blog

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. Run npm install to install the dependencies.

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AWS Machine Learning Blog

FEBRUARY 5, 2025

The listing indexer AWS Lambda function continuously polls the queue and processes incoming listing updates. With Amazon OpenSearch Service, you get a fully managed solution that makes it simple to deploy, scale, and operate OpenSearch in the AWS Cloud. He has specialization in data strategy, machine learning and Generative AI.

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AWS Machine Learning Blog

JUNE 9, 2023

For example, Amazon GuardDuty , the native AWS threat detection service, uses a graph with billions of edges to improve the coverage and accuracy of its threat intelligence. To solve the problem of finding the field of study for any given paper, simply perform a k-nearest neighbor search on the embeddings.

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AWS Machine Learning Blog

DECEMBER 10, 2024

Part 1 uses AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless. We performed a k-nearest neighbor (k-NN) search to retrieve the most relevant embedding matching the question. You can do this by deleting the stacks using the AWS CloudFormation console.

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AWS Machine Learning Blog

APRIL 5, 2023

You can also use an AWS CloudFormation template by following the GitHub instructions to create a domain. By using an interface VPC endpoint (interface endpoint), the communication between your VPC and Studio is conducted entirely and securely within the AWS network. aws s3 cp $BUILD_ROOT/model.tar.gz $S3_PATH !bash

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AWS Machine Learning Blog

SEPTEMBER 25, 2024

Generative AI offers new possibilities to address this challenge and can be used by content teams and influencers to enhance their creativity and engagement while maintaining brand consistency. The whole process is shown in the following image: Implementation steps This solution has been tested in AWS Region us-east-1.

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AWS Machine Learning Blog

SEPTEMBER 29, 2023

In late 2023, Planet announced a partnership with AWS to make its geospatial data available through Amazon SageMaker. In this analysis, we use a K-nearest neighbors (KNN) model to conduct crop segmentation, and we compare these results with ground truth imagery on an agricultural region.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

Each category necessitates specialized generative AI-powered tools to generate insights. The following is an example of a prompt that can be used to generate Pandas code for data analysis: prompt_template = """ You are an AI assistant designed to answer questions from oil and gas analysts. Put your the code in tags. -

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Snorkel AI

JANUARY 26, 2023

Snorkel AI co-founder and CEO Alex Ratner recently interviewed several Snorkel researchers about their published academic papers. I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning.

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Snorkel AI

JANUARY 26, 2023

Snorkel AI co-founder and CEO Alex Ratner recently interviewed several Snorkel researchers about their published academic papers. I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning.

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Pickl AI

NOVEMBER 18, 2024

Basics of Machine Learning Machine Learning is a subset of Artificial Intelligence (AI) that allows systems to learn from data, improve from experience, and make predictions or decisions without being explicitly programmed. K-Nearest Neighbors), while others can handle large datasets efficiently (e.g., Random Forests).

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Flipboard

DECEMBER 18, 2024

In the rapidly evolving landscape of AI-powered search, organizations are looking to integrate large language models (LLMs) and embedding models with Amazon OpenSearch Service. It supports advanced features such as result highlighting, flexible pagination, and k-nearest neighbor (k-NN) search for vector and semantic search use cases.

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AWS Machine Learning Blog

OCTOBER 24, 2024

The AWS Generative AI Innovation Center (GenAIIC) is a team of AWS science and strategy experts who have deep knowledge of generative AI. They help AWS customers jumpstart their generative AI journey by building proofs of concept that use generative AI to bring business value. doc,pdf, or.txt).

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