Remove 2023 Remove Optimization Remove Unstructured Data
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Unbundling the Graph in GraphRAG

O'Reilly on Data

GraphRAG is a technique which uses graph technologies to enhance RAG, which has become popularized since Q3 2023. decomposes a complex task into a graph of subtasks, then uses LLMs to answer the subtasks while optimizing for costs across the graph. Chunk your documents from unstructured data sources, as usual in GraphRAG.

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How AI orchestration has become more important than the models themselves

CIO Business Intelligence

Applying customization techniques like prompt engineering, retrieval augmented generation (RAG), and fine-tuning to LLMs involves massive data processing and engineering costs that can quickly spiral out of control depending on the level of specialization needed for a specific task. to autonomously address lost card calls.

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Want AI? Here’s how to get your data and infrastructure AI-ready

CIO Business Intelligence

The key is to make data actionable for AI by implementing a comprehensive data management strategy. That’s because data is often siloed across on-premises, multiple clouds, and at the edge. Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

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Optimizing the Value of AI Solutions for the Public Sector

Cloudera

Without a doubt, 2023 has shaped up to be generative AI’s breakout year. Earlier this month, I had the opportunity to lead a roundtable discussion at the PSN Government Innovation show ( 2023 Government Innovation Show – Federal – Public Sector Network ) in Washington, DC. Limit access and capabilities initially.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

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The AI continuum

CIO Business Intelligence

Great for: Extracting meaning from unstructured data like network traffic, video & speech. Downsides: Lower accuracy; the source of dumb chatbots; not suited for unstructured data. Retraining, refining, and optimizing create efficiency so you can run on less expensive hardware. Learn more. [1]