Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
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Embracing AI with Dr. Gillian Hammah: A 90-day plan to become AI-fluent (without quitting ...
You don’t need a perfect plan to get started with AI; you need a simple 90‑day path that fits around real life and real work. This roadmap is designed for professionals who are busy, a bit overwhelmed ...
Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
Add a description, image, and links to the graph-data-structure topic page so that developers can more easily learn about it.
In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...
Abstract: Graph neural network is a new neural network model in recent years, whose advantage lies in processing graph structure data. In the era of big data, people can collect a large amount of ...
1 COSCO Shipping Technology Co., Ltd., Shanghai, China. 2 COSCO Shipping Specialized Carriers Co., Ltd., Guangzhou, China. The cost and strict input format requirements of GraphRAG make it less ...
Spatial-temporal data handling involves the analysis of information gathered over time and space, often through sensors. Such data is crucial in pattern discovery and prediction. However, missing ...
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