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State of Machine Learning Survey Results Part Two

ODSC - Open Data Science

Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation. What are the biggest challenges in machine learning?

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LLM distillation techniques to explode in importance in 2024

Snorkel AI

As data science teams reorient around the enduring value of small, deployable models, they’re also learning how LLMs can accelerate data labeling. According to our poll participants, data preparation still occupies more data scientists’ hours than anything else. or request a demo to get started or to learn more.

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LLM distillation techniques to explode in importance in 2024

Snorkel AI

As data science teams reorient around the enduring value of small, deployable models, they’re also learning how LLMs can accelerate data labeling. According to our poll participants, data preparation still occupies more data scientists’ hours than anything else. or request a demo to get started or to learn more.

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“Fall in love with your data”—Snorkel AI’s Enterprise LLM Summit

Snorkel AI

Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way. Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks. Book a demo today.

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“Fall in love with your data”—Snorkel AI’s Enterprise LLM Summit

Snorkel AI

Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way. Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks. Book a demo today.

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How OLAP and AI can enable better business

IBM Journey to AI blog

Increased operational efficiency benefits Reduced data preparation time : OLAP data preparation capabilities streamline data analysis processes, saving time and resources. IBM watsonx.data is the next generation OLAP system that can help you make the most of your data.

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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

AWS Machine Learning Blog

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Custom Spark commands can also expand the over 300 built-in data transformations. We start from creating a data flow.

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