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Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Snowflake

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. And second, with the power to be more pervasive than I can even imagine, is generative AI and LLMs.

Building 115
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The Rise of Unstructured Data

Cloudera

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing.

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Cross-Functional Trade Surveillance

Cloudera

All three cases require a “big picture” approach that incorporates new and alternative data sources and cross-functional collaboration throughout the organization not only to identify illegal activities, rogue traders, or personal misconduct but also to provide evidential material that demonstrates a deep understanding of the intent.

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Making GHC faster at emitting code

Tweag

For the past few months, Krzysztof Gogolewski and I have had the opportunity to work with Mercury to identify what some of those improvements might be, and I am pleased to report that our first major patch toward that end will be part of GHC 9.6. As of version 9.6, As of version 9.6,

Coding 72
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How Financial Services Should Prepare for Generative AI

Snowflake

But what will that look like? But what might this transformation look like, from practical applications to potential risks? In this blog post, we’ll walk through what the actual capabilities of LLMs are, and the steps financial organizations should take to harness this technology effectively and safely.