Remove AI Development Remove Data Ingestion Remove Data Quality
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The importance of data ingestion and integration for enterprise AI

IBM Journey to AI blog

In the generative AI or traditional AI development cycle, data ingestion serves as the entry point. Here, raw data that is tailored to a company’s requirements can be gathered, preprocessed, masked and transformed into a format suitable for LLMs or other models.

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Upstage AI Introduces Dataverse for Addressing Challenges in Data Processing for Large Language Models

Marktechpost

Addressing this challenge requires a solution that is scalable, versatile, and accessible to a wide range of users, from individual researchers to large teams working on the state-of-the-art side of AI development. Existing research emphasizes the significance of distributed processing and data quality control for enhancing LLMs.

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Unlock proprietary data with Snorkel Flow and Amazon SageMaker

Snorkel AI

The integration between the Snorkel Flow AI data development platform and AWS’s robust AI infrastructure empowers enterprises to streamline LLM evaluation and fine-tuning, transforming raw data into actionable insights and competitive advantages. Here’s what that looks like in practice.

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Unlock proprietary data with Snorkel Flow and Amazon SageMaker

Snorkel AI

The integration between the Snorkel Flow AI data development platform and AWS’s robust AI infrastructure empowers enterprises to streamline LLM evaluation and fine-tuning, transforming raw data into actionable insights and competitive advantages. Heres what that looks like in practice.

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Snorkel AI partners with Snowflake to bring data-centric AI to the Snowflake Data Cloud

Snorkel AI

Snorkel AI has teamed with Snowflake to help our shared customers transform raw, unstructured data into actionable, AI-powered insights. Users are able to rapidly improve training data quality and model performance using integrated error analysis to develop highly accurate and adaptable AI applications.

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Snorkel AI partners with Snowflake to bring data-centric AI to the Snowflake Data Cloud

Snorkel AI

Snorkel AI has teamed with Snowflake to help our shared customers transform raw, unstructured data into actionable, AI-powered insights. Users are able to rapidly improve training data quality and model performance using integrated error analysis to develop highly accurate and adaptable AI applications.