A Survey on Efficient Training of Transformers Transformers are the one architecture driving AI research in most modalities. They require large compute resources, but more and more efficient training approaches are being proposed. A survey on the topic: https://
arxiv.org/abs/2302.01107
COMPUTING
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Survey on Efficient Training Methods for Transformer Architectures
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Science Works Unexpectedly Engineering Fails Expectedly
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science is when it works but shouldn’t, engineering is when it doesn’t work but should
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Graph Node Selection Algorithm With Constraint-Based Synergy Optimization
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Proposed solution: 1/ Defining a random traversal order for graph nodes 2/ Filtering the list of candidates according to constraint requirements 3/ Selecting an item that maximizes the synergy of partially filled neighboring candidates.
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Optimizing Puzzle Generation: Beyond Exhaustive Search Methods
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Current landscape: • Traditional approaches to generating puzzles are often time-consuming • Exhaustive search may not be feasible due to the large design space
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Cerebras AI Model Studio Launches Fine-Tuning Service
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Fine-tuning of large language models is now available via the Cerebras AI Model Studio, a pay-by-the-model computing service powered by dedicated clusters of Cerebras CS-2 systems. Interested? Learn more here – https://
hubs.li/Q01D09L70 Free trial – https://
hubs.li/Q01D0mfx0 -
Fourier Equation: Mathematical Foundation of Digital Music Technology
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Digital music couldn't exist without the Fourier equation from 1822: http://
bit.ly/22kbNfi credit: @Gizmodo -
Automate dbt Core projects in Databricks jobs workflows
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DYK that you can run dbt Core projects as a task in a Databricks job? This allows you to automate your dbt tasks, include your dbt projects in a workflow, and monitor your transformations! See how https://
dbricks.co/3HWc9SQ -
Key Factors in Technology Selection and Project Planning
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A mix of factors. How important is performance? Existing code I need to interact with? Expected to be a small project with a handful of people or a large effort? etc.
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IBM Launches Vela, First AI-Optimized Cloud-Native Supercomputer
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The integration of #AI models into daily life has resulted in an increased need for more complex models and advanced techniques. To address this, @IBMResearch built "Vela", IBM’s first AI-optimized, cloud-native supercomputer. Here's how they did it: https://
ibm.co/3Eb3Tfz