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Difference between Artificial Intelligence and Machine Learning

The Crazy Programmer

We are talking about machine learning and artificial intelligence. On the other hand Machine Learning is the ability of machines to learn on their own without being explicitly programmed. Machine learning algorithms generally uses previous data and try to generate knowledge based on that data.

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Heyday lands $6M to build a knowledge base from the services you already use

TechCrunch

Launched in 2021, Heyday is designed to automatically save web pages and pull in content from cloud apps, resurfacing the content alongside search engine results and curating it into a knowledge base. Investors include Spark Capital, which led a $6.5 million seed round in the company that closed today. For every piece of content (e.g.,

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning - AI

FMs are trained on vast quantities of data, allowing them to be used to answer questions on a variety of subjects. Knowledge Bases for Amazon Bedrock is a fully managed RAG capability that allows you to customize FM responses with contextual and relevant company data. The following diagram depicts a high-level RAG architecture.

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Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document

AWS Machine Learning - AI

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, 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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Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases

AWS Machine Learning - AI

Amazon Bedrock Knowledge Bases is a fully managed capability that helps you implement the entire RAG workflow—from ingestion to retrieval and prompt augmentation—without having to build custom integrations to data sources and manage data flows. Latest innovations in Amazon Bedrock Knowledge Base provide a resolution to this issue.

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How AI can alleviate help desk workloads

CIO

Yet many still rely on phone calls, outdated knowledge bases, and manual processes. That means organizations are lacking a viable, accessible knowledge base that can be leveraged, says Alan Taylor, director of product management for Ivanti – and who managed enterprise help desks in the late 90s and early 2000s. “We