Embracing Transparency: How Open Data Drives Innovation and Positive Change

Published: 2024-03-21

Open data is important for innovation and solving global problems. Companies use AI, sensors, and IoT to improve maintenance and flood predictions. Countries like the Netherlands and Southeast Asia use open data to change how they work.

Events like KubeCon + CloudNativeCon talk about how open source and data help AI grow. Groups like the Unified Acceleration Foundation want more data access for training advanced models. Sharing data in the open-source community can lead to big AI advancements.

Businesses are using new tech like Large Language Models (LLMs) and switching to Smaller Language Models (SLMs) for better results. Being open, transparent, and working together can maximize data tech while reducing risks like data poisoning and security issues.

Open data helps drive positive change and empower people and groups to make smart choices for the future. By using open data, different fields can tackle global problems and make a real impact. Consumers should know about these practices to make sure data is used ethically for good.

https://diginomica.com/not-too-big-not-too-small-just-right-size-does-matter-when-it-comes-gen-ai-language-models

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