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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

We don’t claim this is a definitive analysis but rather a rough guide due to several factors: Job descriptions show lagging indicators of in-demand prompt engineering skills, especially when viewed over the course of 9 months. Employers and hiring managers tend to favor more established skills vs. the latest tools and platforms.

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Coactive AI’s CEO: quality beats quantity for data selection

Snorkel AI

There’s a long history of research, under active learning and core-set selection, which has developed methods that focus specifically on quantifying and identifying the most informative training points. And then the black line represents what we’d get if we were just to take a random subset of that certain percentage of data.

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Coactive AI’s CEO: quality beats quantity for data selection

Snorkel AI

There’s a long history of research, under active learning and core-set selection, which has developed methods that focus specifically on quantifying and identifying the most informative training points. And then the black line represents what we’d get if we were just to take a random subset of that certain percentage of data.

article thumbnail

Coactive AI’s CEO: quality beats quantity for data selection

Snorkel AI

There’s a long history of research, under active learning and core-set selection, which has developed methods that focus specifically on quantifying and identifying the most informative training points. And then the black line represents what we’d get if we were just to take a random subset of that certain percentage of data.

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Multi-domain Multilingual Question Answering

Sebastian Ruder

You can find the table of contents below: Introduction Open-Retrieval QA vs Reading Comprehension What is a Domain? They differ based on the type and amount of context they provide and often focus on specialized domains, from Chinese history exams ( Zhao & Zhao, 2018 ) to Chinese maternity forums ( Xu et al., 2019 ; Hu et al.,

BERT 52
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Model metadata management : Tools should support the management of metadata associated with ML models, including descriptions, the kinds of tasks they solve, performance metrics, training configurations, and version history, facilitating model documentation and reproducibility.