Metadata, Responsible AI and Software Engineer - Artificial Intelligence Zone

How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning Blog

OCTOBER 16, 2024

With a growing library of long-form video content, DPG Media recognizes the importance of efficiently managing and enhancing video metadata such as actor information, genre, summary of episodes, the mood of the video, and more. Video data analysis with AI wasn’t required for generating detailed, accurate, and high-quality metadata.

Metadata

Metadata Automation Generative AI AI

How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

AWS Machine Learning Blog

AUGUST 9, 2024

The embedding representations of text chunks along with related metadata are indexed in OpenSearch Service. In this step, the user asks a question about the ingested documents and expects a response in natural language. The application uses Amazon Textract to get the text and tables from the input documents.

Data Ingestion

Data Ingestion Metadata LLM Generative AI

Read graphs, diagrams, tables, and scanned pages using multimodal prompts in Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. However, we’re not limited to using generative AI for only software engineering.

LLM

LLM Convolutional Neural Networks Metadata Explainability

Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

AWS Machine Learning Blog

SEPTEMBER 28, 2023

This layer serves as the cornerstone for secure, compliant, and agile consumption of FMs through the Generative AI Gateway, promoting responsible AI practices within the organization. This table will hold the endpoint, metadata, and configuration parameters for the model.

Generative AI

Generative AI Metadata Large Language Models AI

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

JUNE 27, 2023

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?

Machine Learning

Machine Learning Metadata Data Scientist Data Quality

How 123RF saved over 90% of their translation costs by switching to Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 25, 2024

This post explores how 123RF used Amazon Bedrock, Anthropic’s Claude 3 Haiku, and a vector store to efficiently translate content metadata, significantly reduce costs, and improve their global content discovery capabilities. Metadata such as the content type, domain, and any relevant tags. The corresponding translation chunk.

Prompt Engineering

Prompt Engineering Prompt Engineer Metadata Generative AI

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

NOVEMBER 14, 2024

However, model governance functions in an organization are centralized and to perform those functions, teams need access to metadata about model lifecycle activities across those accounts for validation, approval, auditing, and monitoring to manage risk and compliance. An experiment collects multiple runs with the same objective.

ML

ML Auto-complete Machine Learning Auto-classification

11 Trending LLM Topics Coming to ODSC West 2024

ODSC - Open Data Science

SEPTEMBER 17, 2024

This talk will also cover the implementation of the RAISE framework, which stands for Responsible AI Security Engineering, designed to provide a step-by-step approach to building secure and resilient AI systems.

LLM

LLM Large Language Models Metadata Data Science

Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

AWS Machine Learning Blog

SEPTEMBER 20, 2024

required=True, ) }, ), ] ), After the Amazon Bedrock agent determines the API operation that it needs to invoke in an action group, it sends information alongside relevant metadata as an input event to the Lambda function. With a software engineering background, he embraces infrastructure as code and is passionate about all things security.

Generative AI

Generative AI Python Chatbots AI

Google’s Dr. Arsanjani on Enterprise Foundation Model Challenges

Snorkel AI

MARCH 2, 2023

From a software engineering perspective, machine-learning models, if you look at it in terms of the number of parameters and in terms of size, started out from the transformer models. So the application started to go from the pure software-engineering/machine-learning domain to industry and the sciences, essentially.

Large Language Models

Large Language Models Prompt Engineer Prompt Engineering Neural Network

Google’s Arsanjani on Enterprise Foundation Model Challenges

Snorkel AI

MARCH 2, 2023

From a software engineering perspective, machine-learning models, if you look at it in terms of the number of parameters and in terms of size, started out from the transformer models. So the application started to go from the pure software-engineering/machine-learning domain to industry and the sciences, essentially.

Large Language Models

Large Language Models Prompt Engineer Prompt Engineering Neural Network

Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

Flipboard

DECEMBER 3, 2024

It facilitates real-time data synchronization and updates by using GraphQL APIs, providing seamless and responsive user experiences. Efficient metadata storage with Amazon DynamoDB – To support quick and efficient data retrieval, document metadata is stored in Amazon DynamoDB.

Generative AI

Generative AI Metadata Machine Learning Natural Language Processing

Definite Guide to Building a Machine Learning Platform

The MLOps Blog

MARCH 21, 2023

To make that possible, your data scientists would need to store enough details about the environment the model was created in and the related metadata so that the model could be recreated with the same or similar outcomes. Version control for code is common in software development, and the problem is mostly solved.

Machine Learning

Machine Learning Data Scientist ML Metadata

An introduction to preparing your own dataset for LLM training

AWS Machine Learning Blog

DECEMBER 19, 2024

Common patterns for filtering data include: Filtering on metadata such as the document name or URL. He is currently focused on natural language processing, responsible AI, inference optimization and scaling ML across the enterprise. Manager of AI/ML Solutions Architecture at Amazon Web Services. David Ping is a Sr.

LLM

LLM Machine Learning Natural Language Processing ML

Artificial Intelligence Zone

How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

Trending Sources

Read graphs, diagrams, tables, and scanned pages using multimodal prompts in Amazon Bedrock

Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

MLOps Landscape in 2023: Top Tools and Platforms

How 123RF saved over 90% of their translation costs by switching to Amazon Bedrock

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

11 Trending LLM Topics Coming to ODSC West 2024

Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

Google’s Dr. Arsanjani on Enterprise Foundation Model Challenges

Google’s Arsanjani on Enterprise Foundation Model Challenges

Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

Definite Guide to Building a Machine Learning Platform

An introduction to preparing your own dataset for LLM training

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