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AI trends in 2023: Graph Neural Networks

AssemblyAI

The following figure aims at illustrating the distribution of GNN papers across 22 categories. Distribution of GNN papers across 22 distinct categories ( source ) As we can see, GNNs have seen impressive growth in AI research and their impact is distributed across vastly different domains. Enjoyed this article?

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The Story Continues: Announcing Version 14 of Wolfram Language and Mathematica

Hacker News

One category is LLM functions, that effectively use LLMs as “internal algorithms” for operations in Wolfram Language: In typical Wolfram Language fashion, we have a symbolic representation for LLMs: LLMConfiguration [ … ] represents an LLM with its various parameters, promptings, etc. One category concerns the structure of answers.

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