AWS Machine Learning - AI

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

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AWS Machine Learning - AI

AUGUST 6, 2024

I explored how Bedrock enables customers to build a secure, compliant foundation for generative AI applications. However, our customers tell us that while pre-trained LLMs excel at analyzing vast amounts of data, they often lack the specialized knowledge necessary to tackle specific business challenges.

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AWS Machine Learning - AI

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. In turn, customers can ask a variety of questions and receive accurate answers powered by generative AI.

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CIO

JUNE 28, 2023

Well, if that child were generative AI, you’d think, judging by the headlines, that the kid grew from three years old to twenty after a day trip to Austin. Despite the buzz that generative AI has stirred in media and boardrooms, we believe the headlines are outpacing adoption in the enterprise. Am I falling behind?

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AWS Machine Learning - AI

JULY 10, 2024

As the adoption of generative AI continues to grow, many organizations face challenges in efficiently developing and managing prompts. Before introducing the details of the new capabilities, let’s review how prompts are typically developed, managed, and used in a generative AI application.

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Cloudera

NOVEMBER 1, 2023

This AMP is built on the foundation of one of our previous AMP s, with the additional enhancement of enabling customers to create a knowledge base from data on their own website using Cloudera DataFlow (CDF) and then augment questions to the chatbot from that same knowledge base in Pinecone.

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AWS Machine Learning - AI

MAY 30, 2024

Generative artificial intelligence (AI) has unlocked fresh opportunities for these use cases. In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and evaluation processes.

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AWS Machine Learning - AI

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. Consider the following machine learning (ML) problem: user asks a large language model (LLM) question: “How to filter and search models in Amazon Bedrock?”.

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Perficient

AUGUST 23, 2023

This partnership will help accelerate our AI efforts by leveraging Writer’s capabilities to create content more efficiently and support our clients. This partnership will also accelerate Perficient clients’ use of generative AI, and empower them to create content efficiently and safely.

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Ivanti

JUNE 10, 2024

Interest in generative AI has skyrocketed since the release of tools like ChatGPT, Google Gemini, Microsoft Copilot and others. Organizations are treading cautiously with generative AI tools despite seeing them as a game changer. Knowledge articles, particularly for HR, can be personalized by region or language.

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CIO

MARCH 6, 2024

Banking on AI Kavin Mistry, head of digital marketing and personalization at TSB Bank, is another executive exploring how AI and machine learning (ML) can boost CX. The solution could be generative AI, but it might not be.” We went through the learning journey with Salesforce on Einstein, both good and bad.

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CIO

APRIL 11, 2024

“We have unique knowledge of what exactly is required to give customers what they want, how they want it,” he says. These days that includes generative AI. According to Leung, Oracle has been particularly focused on providing generative AI capabilities via the cloud. “We

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CIO

APRIL 12, 2024

And while the company prides itself on the wide knowledge of its store employees, no one can be an expert on every product a store sells. A new support tool, Hey GURA, combines generative AI with headsets to provide store employees with all kinds of information on the fly. It makes the team member much more efficient.”

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AWS Machine Learning - AI

SEPTEMBER 12, 2024

Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity.

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AWS Machine Learning - AI

MAY 30, 2024

Retrieval Augmented Generation vs. fine tuning Traditional LLMs don’t have an understanding of Vitech’s processes and flow, making it imperative to augment the power of LLMs with Vitech’s knowledge base. The VitechIQ user experience can be split into two process flows: document repository, and knowledge retrieval.

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Cloudera

OCTOBER 18, 2023

Historically, firms have relied on high-cost, third-party solutions to help identify savings opportunities, however, the landscape is rapidly changing, and the emergence of AI and machine learning (ML) has ushered in a new era of possibilities. Quickest wins!

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AWS Machine Learning - AI

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. System integration – Agents make API calls to integrated company systems to run specific actions.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

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AWS Machine Learning - AI

JULY 10, 2024

Knowledge Bases for Amazon Bedrock is a fully managed service that helps you implement the entire Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows, pushing the boundaries for what you can do in your RAG workflows.

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AWS Machine Learning - AI

MAY 31, 2024

However, if you want to use an FM to answer questions about your private data that you have stored in your Amazon Simple Storage Service (Amazon S3) bucket, you need to use a technique known as Retrieval Augmented Generation (RAG) to provide relevant answers for your customers. The following diagram depicts a high-level RAG architecture.

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AWS Machine Learning - AI

JULY 2, 2024

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process.

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AWS Machine Learning - AI

AUGUST 5, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. and the AWS SDK for Python (Boto3).

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AWS Machine Learning - AI

APRIL 23, 2024

Aligning generative AI applications with this framework is essential for several reasons, including providing scalability, maintaining security and privacy, achieving reliability, optimizing costs, and streamlining operations. Now, let’s dive deep into the new features launched within Knowledge Bases for Amazon Bedrock.

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AWS Machine Learning - AI

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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O'Reilly Media - Ideas

MAY 14, 2024

Marketing teams have been using machine learning for more than a decade. Now, we’re starting to see these same teams make the use of generative AI in their marketing and sales programs to continue to drive greater productivity and efficiency from their efforts. An AI writer drafts messages to be used with prospects.

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AWS Machine Learning - AI

APRIL 8, 2024

One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems that comprehend complex information and provide natural responses to queries. RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants.

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Perficient

NOVEMBER 30, 2023

This new platform offers a promising set of features, including Retrieval Augmented Generation capabilities, aiming to enhance the domain of generative AI-powered assistance. The recent introduction of AWS Q has certainly caught the attention of the tech community.

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AWS Machine Learning - AI

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) applications powered by large language models (LLMs) are rapidly gaining traction for question answering use cases. From internal knowledge bases for customer support to external conversational AI assistants, these applications use LLMs to provide human-like responses to natural language queries.

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AWS Machine Learning - AI

AUGUST 26, 2024

Prospecting, opportunity progression, and customer engagement present exciting opportunities to utilize generative AI, using historical data, to drive efficiency and effectiveness. Use case overview Using generative AI, we built Account Summaries by seamlessly integrating both structured and unstructured data from diverse sources.

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AWS Machine Learning - AI

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. In the batch case, there are a couple challenges compared to typical data pipelines.

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AWS Machine Learning - AI

SEPTEMBER 11, 2024

The first covered building generative AI apps securely with Amazon Bedrock , while the second explored building custom generative AI applications with Amazon Bedrock. Generative AI solutions that use Amazon Bedrock Agents can handle complex tasks by combining an LLM with other tools.

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Perficient

AUGUST 20, 2024

The rapid advancement of artificial intelligence (AI) has led to the development of foundational models that form the bedrock of numerous AI applications. AWS Bedrock is Amazon Web Services’ comprehensive solution that leverages these models to provide robust AI and machine learning (ML) capabilities.

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AWS Machine Learning - AI

SEPTEMBER 13, 2024

We aim to target and simplify them using generative AI with Amazon Bedrock. The application generates SQL queries based on the user’s input, runs them against an Athena database containing CUR data, and presents the results in a user-friendly format. He enjoys building solutions in the cloud to help customers.

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AWS Machine Learning - AI

JUNE 12, 2024

For more information, see Amazon Q Business, now generally available, helps boost workforce productivity with generative AI. Solution overview In this solution, we deploy a custom web experience for Amazon Q to deliver quick, accurate, and relevant answers to your business questions on top of an enterprise knowledge base.

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AWS Machine Learning - AI

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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AWS Machine Learning - AI

DECEMBER 22, 2023

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. For more details on supported data sources, refer to Data sources.

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CIO

JULY 8, 2024

L’intenzione è di ricavare un modello di AI generativa per definire meglio la nostra knowledge base interna. Questa, attualmente, non è pubblica, ma se volessimo esporla andrebbe elaborata per una lettura esterna. E potremmo utilizzare per questo scopo uno Small Language Model”.

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