Remove Machine Learning Remove Natural Language Processing Remove Webinar
article thumbnail

Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

Flipboard

About the Authors Mani Khanuja is a Tech Lead – Generative AI Specialists, author of the book Applied Machine Learning and High-Performance Computing on AWS, and a member of the Board of Directors for Women in Manufacturing Education Foundation Board. In her free time, she likes to go for long runs along the beach.

AWS 160
article thumbnail

Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning Blog

This post focused is on Amazon Bedrock, but it can be extended to broader machine learning operations (MLOps) workflows or integrated with other AWS services such as AWS Lambda or Amazon SageMaker. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

AWS 117
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

AWS Machine Learning Blog

The solution simplifies the setup process, allowing you to quickly deploy and start querying your data using the selected FM. He specializes in generative AI, machine learning, and system design. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

AWS 129
article thumbnail

Create a next generation chat assistant with Amazon Bedrock, Amazon Connect, Amazon Lex, LangChain, and WhatsApp

AWS Machine Learning Blog

Amazon Connect forwards the user’s message to Amazon Lex for natural language processing. Mani Khanuja is a Tech Lead – Generative AI Specialist, author of the book Applied Machine Learning and High Performance Computing on AWS , and a member of the Board of Directors for Women in Manufacturing Education Foundation Board.

AWS 97
article thumbnail

Moving from Red AI to Green AI, Part 1: How to Save the Environment and Reduce Your Hardware Costs

DataRobot Blog

Machine learning, and especially deep learning, has become increasingly more accurate in the past few years. The Natural Language Processing (NLP) model BERT costs approximately 1,400 lbs of CO2 (4% of the average American) and somewhere between $4,000 to $12,000 to train in the cloud.

article thumbnail

Getting started with Amazon Titan Text Embeddings

AWS Machine Learning Blog

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. In her free time, she likes to go for long runs along the beach.

article thumbnail

Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS CDK

AWS Machine Learning Blog

The RAG workflow enables you to use your document data stored in an Amazon Simple Storage Service (Amazon S3) bucket and integrate it with the powerful natural language processing (NLP) capabilities of foundation models (FMs) provided by Amazon Bedrock. He specializes in generative AI, machine learning, and system design.

AWS 98