Remove services semantic-technology-trainings
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Unbundling the Graph in GraphRAG

O'Reilly on Data

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020. What is GraphRAG?

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

How are we helped when we board the AI hype train? Datasphere empowers data democratization, by providing all business users with self-service data access, including virtual data products that can be stored, re-used, and shared. This is where SAP Datasphere (the next generation of SAP Data Warehouse Cloud) comes in.

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Enhancing Search Relevancy with Cohere Rerank 3.5 and Amazon OpenSearch Service

AWS Big Data

In the rapidly evolving landscape of AI-powered search, organizations are looking to integrate large language models (LLMs) and embedding models with Amazon OpenSearch Service. improves search results for best matching 25 (BM25), a keyword-based algorithm that performs lexical search, in addition to semantic search.

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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

For example, when a retail data analyst creates customer segmentation reports, those same datasets are now being used by AI teams to train recommendation engines. Or customer service teams analyzing call logs to track common issues are now using that data to train AI chatbots to handle routine inquiries.

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. Similarly, there is a case for Snowflake, Cloudera or other platforms, depending on the companys overarching technology strategy.

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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

But that’s exactly the kind of data you want to include when training an AI to give photography tips. Conversely, some of the other inappropriate advice found in Google searches might have been avoided if the origin of content from obviously satirical sites had been retained in the training set.

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What are model governance and model operations?

O'Reilly on Data

A few factors are contributing to this strong interest in implementing ML in products and services. We are also beginning to see researchers share sample code written in popular open source libraries, and some even share pre-trained models. A catalog of validation data sets and the accuracy measurements of stored models.

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