Remove 2008 Remove Cost-Benefit Remove Experimentation Remove Optimization
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Ontotext Expands To Help More Enterprises Turn Their Data into Competitive Advantage

Ontotext

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2008, we received a small round of funding and focused on bringing this technology to the market. Significant engine optimizations made GraphDB more powerful and more efficient across a wider set of workloads.

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Ontotext 2023: Accelerating Our Growth to Enable Business Success for Enterprises

Ontotext

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2008, we received a small round of funding and focused on bringing this technology to the market. Typical memory usage is now 15% to 20% less. His secondary objective was to ensure the U.S.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

[Note: In more technical machine learning terms, the cost function of the skip-gram architecture is to maximize the log probability of any possible context word from a corpus given the current target word.] A major benefit of fastText. With CBOW, it is the inverse: The target word is predicted based on the context words. this chapter.