AWS Machine Learning Blog

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. This request contains the user’s message and relevant metadata.

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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. Many commercial generative AI solutions available are expensive and require user-based licenses.

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AWS Machine Learning Blog

MARCH 20, 2025

Asure anticipated that generative AI could aid contact center leaders to understand their teams support performance, identify gaps and pain points in their products, and recognize the most effective strategies for training customer support representatives using call transcripts. Yasmine Rodriguez, CTO of Asure.

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AWS Machine Learning Blog

MARCH 20, 2025

Gartner predicts that by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling.

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AWS Machine Learning Blog

OCTOBER 29, 2024

Organizations can process large datasets more economically because of this significant cost reduction, making it an attractive option for businesses looking to optimize their generative AI processing expenses while maintaining the ability to handle substantial data volumes.

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AWS Machine Learning Blog

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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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.

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AWS Machine Learning Blog

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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AWS Machine Learning Blog

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. These applications are a focus point for our generative AI efforts.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. You can use metadata filtering to narrow down search results by specifying inclusion and exclusion criteria. Securing your generative AI system is another crucial aspect.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

In this post, we propose Generative AI Gateway as platform for an enterprise to allow secure access to FMs for rapid innovation. In this post, we define what a Generative AI Gateway is, its benefits, and how to architect one on AWS. What is a Generative AI Gateway?

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IBM Journey to AI blog

DECEMBER 4, 2023

The AI Ethics Board: a central, cross-disciplinary body that supports a centralized governance, review and decision-making process for IBM ethics policies, practices, communications, research, products and services. The Board recently published its point of view on foundation models addressing the risks that generative AI poses.

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IBM Journey to AI blog

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Generative AI chatbots have been known to insult customers and make up facts.

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Marktechpost

MAY 30, 2024

Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini. It also includes guidance on using Google Tools to develop your own Generative AI applications.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

Goldman Sachs estimated that generative AI could automate 44% of legal tasks in the US. A special report published by Thompson Reuters reported that generative AI awareness is significantly higher among legal professionals, with 91% of respondents saying they have heard of or read about these tools.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

In the context of generative AI , significant progress has been made in developing multimodal embedding models that can embed various data modalities—such as text, image, video, and audio data—into a shared vector space. Retrieve images stored in S3 bucket response = s3.list_objects_v2(Bucket=BUCKET_NAME) Engine : Select nmslib.

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AWS Machine Learning Blog

OCTOBER 27, 2023

Organizations are using AI to improve data-driven decisions, enhance omnichannel experiences, and drive next-generation product development. Enterprises are using generative AI specifically to power their marketing efforts through emails, push notifications, and other outbound communication channels.

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AWS Machine Learning Blog

MAY 7, 2024

Using generative AI and new multimodal foundation models (FMs) could be very strategic for Veritone and the businesses they serve, because it would significantly improve media indexing and retrieval based on contextual meaning—a critical first step to eventually generating new content.

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NVIDIA

MAY 1, 2024

Gemma was developed from the same research and technology used to create the company’s Gemini models and is built for responsible AI development. ChatRTX also now supports ChatGLM3, an open, bilingual (English and Chinese) LLM based on the general language model framework. AI powers other elements of the Remix workflow, too.

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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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IBM Journey to AI blog

APRIL 11, 2024

This year the World Economic Forum’s AI Governance Alliance this year published the Presidio AI Framework ( PDF ). It “…provides a structured approach to the safe development, deployment and use of generative AI. ” Academic and scientific perspectives are also essential.

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AWS Machine Learning Blog

JANUARY 28, 2025

By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks. To support robust generative AI application development, its essential to keep track of models, prompt templates, and datasets used throughout the process.

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AWS Machine Learning Blog

MAY 14, 2024

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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AWS Machine Learning Blog

NOVEMBER 14, 2024

structured: | Process the pdf invoice and list all metadata and values in json format for the variables with descriptions in tags. She is passionate about using Generative AI in a responsible manner whether that is driving product innovation, boost productivity or enhancing customer experiences.

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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.

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AWS Machine Learning Blog

AUGUST 9, 2024

Retrieval Augmented Generation (RAG) has emerged as a leading method for using the power of large language models (LLMs) to interact with documents in natural language. The text embedding model processes the text chunks and generates embedding vectors for each text chunk. The second step is Q&A, as shown in the following diagram.

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AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

You then format these pairs as individual text files with corresponding metadata JSON files , upload them to an S3 bucket, and ingest them into your cache knowledge base. He is deeply passionate about generative AI and consistently seeks opportunities to implement AI into solving complex customer challenges.

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AWS Machine Learning Blog

SEPTEMBER 13, 2024

Set up the policy documents and metadata in the data source for the knowledge base We use Amazon Bedrock Knowledge Bases to manage our documents and metadata. Upload a few insurance policy documents and metadata documents to the S3 bucket to mimic the naming conventions as shown in the following screenshot.

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AWS Machine Learning Blog

MARCH 20, 2025

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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Flipboard

AUGUST 6, 2023

Designed with responsible AI and data privacy in mind, Jupyter AI empowers users to choose their preferred LLM, embedding model, and vector database to suit their specific needs. Moreover, it saves metadata about model-generated content, facilitating tracking of AI-generated code within the workflow.

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Towards AI

AUGUST 8, 2024

Manifest relies on runtime metadata, such as a function’s name, docstring, arguments, and type hints. It uses this metadata to compose a prompt and sends it to an LLM. Feedback Loops in Generative AI: How AI May Shoot Itself in the Foot by Anthony Demeusy Generative AI can enhance creativity, but beware of feedback loops!

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AWS Machine Learning Blog

FEBRUARY 19, 2025

At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS) that enables you to run generative AI development tasks on shared accelerated compute resources efficiently and reduce costs by up to 40%. queue-name: hyperpod-ns-researchers-localqueue kueue.x-k8s.io/priority-class:

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AWS Machine Learning Blog

SEPTEMBER 20, 2024

In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application. Amazon Q, AWS's generative AI assistant, has been integrated with Smartsheet to provide AI-powered assistance to employees.

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NVIDIA

JANUARY 6, 2025

NVIDIA Media2 technology stack NVIDIA Technologies at the Heart of Media2 As the media and entertainment industry embraces generative AI and accelerated computing , NVIDIA technologies are transforming how content is created, delivered and experienced. Bria is a commercial-first visual generative AI platform designed for developers.

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AWS Machine Learning Blog

JUNE 11, 2024

Wiz has harnessed the power of generative AI to help organizations remove risks in their cloud environment faster. With Wiz’s new integration with Amazon Bedrock , Wiz customers can now generate guided remediation steps backed by foundation models (FMs) running on Amazon Bedrock to reduce their mean time to remediation (MTTR).

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AWS Machine Learning Blog

AUGUST 5, 2024

Finding relevant content usually requires searching through text-based metadata such as timestamps, which need to be manually added to these files. When a user queries the contents of the audio files through a generative AI application or AWS Lambda function, it makes an API call to Knowledge Bases for Amazon Bedrock.

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