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Demystifying Multimodal LLMs

Dataiku

Intrigued, you type in a question about the location, expecting a response from a fellow user. M-LLMs seamlessly integrate multimodal information, enabling them to comprehend the world by processing diverse forms of data, including text, images, audio, and so on.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? In short, you must be willing and able to answer the seven WWWWWH questions (Who?

Strategy 289
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Hyperscale vs. colocation: Go big or go rent?

IBM Big Data Hub

The company is working with extremely high volumes of data and expects this situation to continue or grow. So, you’ve got a ton of assets earmarked for data storage , with many more workloads on the way. Your business isn’t expecting this data to collect dust in a vault, either.

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Sydney and the Bard

O'Reilly on Data

There are excellent summaries of these failures in Ben Thompson’s newsletter Stratechery and Simon Willison’s blog. There are excellent summaries of these failures in Ben Thompson’s newsletter Stratechery and Simon Willison’s blog. The important question is where we go from here. What are the next steps?

Testing 210
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Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

DataKitchen

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Director, Data Analytics Team “We had some data issues.

Metrics 120
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A Look Back at the Gartner Data and Analytics Summit

Cloudera

All of that technology, though, depends on data to be successful. In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.

Analytics 105
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Natural Language Querying of GraphDB in LangChain

Ontotext

They can simply type or speak their queries, resembling how they would ask another person a question. They can simply type or speak their queries, resembling how they would ask another person a question. First, the user asks a question in natural language.