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Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

It won’t be a long demo, it’ll be a very quick demo of what you can do and how you can operationalize stuff in Snowflake. And how we do that is by letting our customers develop a single source of truth for their data in Snowflake. And so that’s where we got started as a cloud data warehouse.

ML 52
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Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

It won’t be a long demo, it’ll be a very quick demo of what you can do and how you can operationalize stuff in Snowflake. And how we do that is by letting our customers develop a single source of truth for their data in Snowflake. And so that’s where we got started as a cloud data warehouse.

ML 52
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How we built better GenAI with programmatic data development

Snorkel AI

To accomplish this, we used a pair of models developed in just half a day with Snorkel: one to categorize instruction classes, and the other to estimate response quality (for filtering out low-quality responses). Book a demo today. See what Snorkel option is right for you.

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How we built better GenAI with programmatic data development

Snorkel AI

To accomplish this, we used a pair of models developed in just half a day with Snorkel: one to categorize instruction classes, and the other to estimate response quality (for filtering out low-quality responses). Learn more See what Snorkel can do to accelerate your data science and machine learning teams. Book a demo today.

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How we built better GenAI with programmatic data development

Snorkel AI

To accomplish this, we used a pair of models developed in just half a day with Snorkel: one to categorize instruction classes, and the other to estimate response quality (for filtering out low-quality responses). Learn more See what Snorkel can do to accelerate your data science and machine learning teams. Book a demo today.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Data visualisation principles include clarity, accuracy, efficiency, consistency, and aesthetics. A bar chart represents categorical data with rectangular bars. In contrast, a histogram represents the distribution of numerical data by dividing it into intervals and displaying the frequency of each interval with bars.

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How we built a better GenAI with programmatic data development

Snorkel AI

To accomplish this, we used a pair of models developed in just half a day with Snorkel: one to categorize instruction classes, and the other to estimate response quality (for filtering out low-quality responses). Learn more See what Snorkel can do to accelerate your data science and machine learning teams. Book a demo today.