Remove Artificial Inteligence Remove Generative AI Remove Knowledge Base Remove Software Review
article thumbnail

Generative AI hallucinations: What can IT do?

CIO

Generative AI adoption is growing in the workplace—and for good reason. But the double-edged sword to these productivity gains is one of generative AI’s known Achilles heels: its ability to occasionally “ hallucinate ,” or present incorrect information as fact. Here are a range of options IT can use to get started.

article thumbnail

3 ways Generative AI is transforming the retail industry

CIO

Generative artificial intelligence (GenAI) tools such as Azure OpenAI have been drawing attention in recent months, and there is widespread consensus that these technologies can significantly transform the retail industry. How can Generative AI speed innovation in retail?

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. The following diagram illustrates the solution architecture and workflow.

article thumbnail

AI Knowledge Management: How to Use Generative AI for Knowledge Bases

Ivanti

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.

article thumbnail

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

article thumbnail

Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning - AI

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).

article thumbnail

Streamline generative AI development in Amazon Bedrock with Prompt Management and Prompt Flows (preview)

AWS Machine Learning - AI

These features are designed to accelerate the development, testing, and deployment of generative artificial intelligence (AI) applications, enabling developers and business users to create more efficient and effective solutions that are easier to maintain. The following diagram illustrates this workflow.