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Small Language Models, Big Impact: Fine-Tuning DistilGPT-2 for Medical Queries

Analytics Vidhya

Language models have transformed how we interact with data, enabling applications like chatbots, sentiment analysis, and even automated content generation. However, most discussions revolve around large-scale models like GPT-3 or GPT-4, which require significant computational resources and vast datasets.

Modeling 208
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Making the Case for Data Enablement (Rather Than Data Governance)

TDAN

There is a movement in the business and academic worlds to consider relabeling the name of the long-time data discipline of “Data Governance” to “Data Enablement”. Usually, when someone tells me something like this, my first response is to chuckle and nod my head.

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Using DataOps to Drive Agility & Business Value

DataKitchen

Learn about DataOps from data leaders Jim Tyo, Invesco CDO; Kurt Zimmer, AstraZeneca Head of Engineering for Data Enablement & Ryan Chapin, former GE exec. The post Using DataOps to Drive Agility & Business Value first appeared on DataKitchen.

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Setting Up and Running GraphRAG with Neo4j

Analytics Vidhya

Knowledge graphs provide essential contextual data, enabling LLMs to deliver reliable answers and act as trusted agents in complex tasks. Unlike conventional […] The post Setting Up and Running GraphRAG with Neo4j appeared first on Analytics Vidhya.

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Accelerating Drug Discovery and Development with DataOps

DataKitchen

– Kurt Zimmer, AstraZeneca, Head of Data Engineering inside Data Enablement (CDO Summit 2021). Meta-orchestration is problematic for some because it requires an orchestration tool to connect seamlessly with data professionals’ vast ecosystem of tools.

Testing 246
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How AI-powered agriculture helps farmers grapple with climate change and food security

CIO Business Intelligence

The company’s mission is to provide farmers with real-time insights derived from plant data, enabling them to optimize water usage, improve crop yields, and adapt to changing climatic conditions. Real-time data enables farmers to respond quickly to changing weather conditions, minimizing the impact of extreme events.

IoT 126
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Winkenbach said that his data showed that “deliveries in big cities are almost always improved by creating multi-tiered systems with smaller distribution centers spread out in several neighborhoods, or simply pre-designated parking spots in garages or lots where smaller vehicles can take packages the rest of the way.”

Big Data 275