ODSC - Open Data Science

MARCH 31, 2025

Each text, including the rotated text on the left of the page, is identified and extracted as a stand-alone text element with coordinates and other metadata that makes it possible to render a document very close to the original PDF but from a structured JSONformat.

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Metadata DevOps NLP Large Language Models 52

AWS Machine Learning Blog

MARCH 18, 2025

SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. Today, generative AI can help bridge this knowledge gap for nontechnical users to generate SQL queries by using a text-to-SQL application. The following diagram illustrates the RAG framework.

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LLM Metadata Large Language Models Python 94

The MLOps Blog

JUNE 27, 2023

Google Cloud Vertex AI Google Cloud Vertex AI provides a unified environment for both automated model development with AutoML and custom model training using popular frameworks. Metaflow Metaflow helps data scientists and machine learning engineers build, manage, and deploy data science projects.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

The resulting improvement in utilization of compute resources enables organizations to focus on accelerating their generative AI innovation and time to market, instead of spending time coordinating resource allocation and continuously replanning their generative AI development tasks.

Data Scientist 72

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

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Prompt Engineering Prompt Engineer Large Language Models Responsible AI 52

AWS Machine Learning Blog

AUGUST 8, 2024

This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock. Twilio’s use case Twilio wanted to provide an AI assistant to help their data analysts find data in their data lake.

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Metadata LLM Prompt Engineer Prompt Engineering 117

AWS Machine Learning Blog

APRIL 8, 2025

In this post, we explore how to use Amazon Bedrock for synthetic data generation, considering these challenges alongside the potential benefits to develop effective strategies for various applications across multiple industries, including AI and machine learning (ML). Incorporate rare events and edge cases at appropriate frequencies.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

For example, if Retrieval Augmented Generation (RAG)-based applications accidentally include personally identifiable information (PII) data in context, such issues need to be detected in real time. This becomes challenging if large enterprises with multiple data science teams use bespoke, distributed platforms for deploying foundation models.

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Generative AI Metadata Large Language Models AI 116

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.

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AWS Machine Learning Blog

MAY 22, 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, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Machine Learning 130

Machine Learning Generative AI Natural Language Processing Large Language Models 130

AWS Machine Learning Blog

JULY 19, 2023

Model cards are intended to be a single source of truth for business and technical metadata about the model that can reliably be used for auditing and documentation purposes. The model registry supports a hierarchical structure for organizing and storing ML models with model metadata information.

Metadata 92

Metadata ML Machine Learning Python 92

AWS Machine Learning Blog

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning Blog

MARCH 5, 2025

The examples focus on questions on chunk-wise business knowledge while ignoring irrelevant metadata that might be contained in a chunk. By following these guidelines, organizations can follow responsible AI best practices for creating high-quality ground truth datasets for deterministic evaluation of question-answering assistants.

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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. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

LLM 52

LLM Large Language Models Metadata Data Science 52

AWS Machine Learning Blog

MAY 21, 2024

The solution uses Amazon Bedrock , a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, providing a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Changsha Ma is an generative AI Specialist at AWS.

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Natural Language Processing ML Metadata NLP 124

ODSC - Open Data Science

FEBRUARY 21, 2024

These files contain metadata, current state details, and other information useful in planning and applying changes to infrastructure. It helps to observe data science principles in working with these files. It provides a centralized location for the storage of state and configuration data.

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DevOps Data Science Metadata Machine Learning 52

ODSC - Open Data Science

OCTOBER 22, 2024

Be My Eyes will ensure that all personal information is removed from metadata before sharing, offering users clear options to opt out of data sharing. Responsible AI: A Commitment to Inclusivity Microsoft’s approach to AI has always been centered on responsibility and inclusivity.

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Metadata Responsible AI AI AI 40

ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: MLOps Fundamentals LLM Deployment & Monitoring Cloud Infrastructure forLLMs Observability & Cost Management Operationalizing Local LLMs Responsibly Who Should Attend: MLOps Engineers, Data Scientists, and AI Developers responsible for deploying AIsystems.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52

Topbots

JULY 7, 2023

Complete Conversation History There is another file containing the conversation history, and also including some metadata. The metadata provides information about the main data. It may include information such as the origin of the data, its meaning, its location, its ownership, and its creation.

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ChatGPT Metadata OpenAI Natural Language Processing 52

ODSC - Open Data Science

DECEMBER 16, 2024

Heres how itworks: Facet Extraction: Conversations are analyzed to extract metadata like topics or languageused. Conclusion on Anthropic Clio With Clios introduction, it seems that Anthropic aims to set a new benchmark in AI governance, demonstrating that user privacy and safety can coexist.

Metadata 40

Metadata Large Language Models Explainability AI 40

AWS Machine Learning Blog

JUNE 20, 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, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Auto-classification LLM Prompt Engineer Prompt Engineering 130

AWS Machine Learning Blog

MAY 14, 2024

With Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources. ,AWS

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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. Connect with Philipp on LinkedIn. Markus Rollwagen is a Senior Solutions Architect at AWS, based in Switzerland.

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Sebastian Ruder

NOVEMBER 14, 2022

Other communities such as Zindi or Data Science Nigeria have focused on hosting competitions and providing training courses while new programs such as the African Master's in Machine Intelligence seek to educate the next generation of AI researchers. Writing System and Speaker Metadata for 2,800+ Language Varieties.

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Natural Language Processing NLP Computational Linguistics BERT 52

IBM Journey to AI blog

FEBRUARY 22, 2024

The CDAO includes five ethical principles of responsible, equitable, traceable, reliable, and governable as part of its responsible AI toolkit. Based on the US military’s existing ethics framework, these principles are grounded in the military’s values and help uphold its commitment to responsible AI.

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Flipboard

DECEMBER 3, 2024

Generative AI is reshaping businesses and unlocking new opportunities across various industries. As a global leader in agriculture, Syngenta has led the charge in using data science and machine learning (ML) to elevate customer experiences with an unwavering commitment to innovation.

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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. Your ML platform must have versioning in-built because code and data mostly make up the ML system.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

AWS Machine Learning Blog

FEBRUARY 3, 2025

The knowledge base sync process handles chunking and embedding of the transcript, and storing embedding vectors and file metadata in an Amazon OpenSearch Serverless vector database. Below are retrieved chunks of transcript with metadata including the file name.

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UX Design Auto-complete LLM Prompt Engineer 92

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 Data Science from the AWS Bedrock team. Graham Horwood is Sr.

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