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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances.

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What Are ChatGPT and Its Friends?

O'Reilly on Data

ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. Many of these are unsurprising: you can ask it to write a letter, you can ask it to make up a story, you can ask it to write descriptive entries for products in a catalog.

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Generative AI in the Enterprise

O'Reilly on Data

Generative AI has been the biggest technology story of 2023. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. What’s the reality? We wanted to find out what people are actually doing, so in September we surveyed O’Reilly’s users.

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Why CIOs Need to Understand Apache Cassandra

CIO Business Intelligence

Here, I’ll give you an overview of Cassandra, along with a few reasons why this database might just be the right way to persist data at your organization and ensure your data and the apps that your developers build on it are infinitely scalable, secure, and fast. Apache Cassandra 4.1 is generally available! The solution?

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Communal Computing’s Many Problems

O'Reilly on Data

In the first article of this series, we discussed communal computing devices and the problems they create–or, more precisely, the problems that arise because we don’t really understand what “communal” means. Communal devices are intended to be used by groups of people in homes and offices. This expectation isn’t a new one either.

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Exploring LSTMs

Edwin Chen

LSTMs are behind a lot of the amazing achievements deep learning has made in the past few years, and they're a fairly simple extension to neural networks under the right view. So I'll try to present them as intuitively as possible – in such a way that you could have discovered them yourself. But first, a picture: Aren't LSTMs beautiful?

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What Is Embedded Analytics?

Jet Global

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?