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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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How Snorkel Flow users can register custom models to Databricks

Snorkel AI

Snorkel offers a full suite of third-party data connectors, making data stored in popular cloud repositories like Databricks quickly and easily accessible for data-centric AI development with Snorkel Flow. Register for the next Enterprise LLM Virtual Summit! During this free 3-hour virtual summit on Jan.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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? Guest Post: LLMs & humans: The perfect duo for data labeling

TheSequence

What’s more, these models aren’t always cheaper than data labeling with human annotators. But we’ve found that it is possible to elevate data quality by using an optimal mix of human and LLM labeling. To get a clear picture of LLM performance, we need to compare output on real-world projects as well.

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How to import Databricks data into Snorkel Flow

Snorkel AI

We’re excited to announce this new connector in conjunction with our upcoming The Future of Data-Centric AI virtual event. On June 7, the first day of the conference, Databricks Chief Technologist and Co-founder Matei Zaharia will discuss “Making LLM Applications Production Grade” at 1:30 PM PDT.

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How to import Databricks data into Snorkel Flow

Snorkel AI

We’re excited to announce this new connector in conjunction with our upcoming The Future of Data-Centric AI virtual event. On June 7, the first day of the conference, Databricks Chief Technologist and Co-founder Matei Zaharia will discuss “Making LLM Applications Production Grade” at 1:30 PM PDT.

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How AI saves money and improves banking complaint handling

Snorkel AI

Machine learning to identify emerging patterns in complaint data and solve widespread issues faster. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Banks cannot send their sensitive customer data to crowd labelers or to third-party models without compromising security.