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Maintaining large-scale AI capacity at Meta

Engineering at Meta

Meta is currently operating many data centers with GPU training clusters across the world. A year ago, however, as the industry reached a critical inflection point due to the rise of artificial intelligence (AI), we recognized that to lead in the generative AI space we’d need to transform our fleet.

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RAG vs Fine Tuning: How to Choose the Right Method

Monte Carlo

Generative AI has the potential to transform your business and your data engineering team, but only when it’s done right. Leading organizations are often deciding between two emerging frameworks that differentiate their AI for business value: RAG vs fine tuning. Table of Contents What is Retrieval-Augmented Generation (RAG)?

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2024’s Top Data + AI Predictions in Advertising, Media and Entertainment

Snowflake

It’s not hyperbole to say that generative AI (gen AI) is radically transforming the advertising, media and entertainment industry. There has been widespread excitement about the potential of gen AI to open brand-new creative opportunities and unlock unprecedented efficiencies.

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Why a Solid Data Foundation Is the Key to Successful Gen AI

Snowflake

Today, game-changing benefits of generative AI are creating a renewed impetus to act just as fast and decisively. This time it’s all about ensuring that the data and the platform where it’s processed are ready for the new AI models. Migrating to the cloud made that possible. petabytes daily in 2021. petabytes per second in 2021.

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How Healthcare and Life Sciences Can Unlock the Potential of Generative AI

Snowflake

These are just a few examples of how generative AI and large language models (LLMs) are transforming the healthcare and life sciences (HCLS) industry. Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content.

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AI in Manufacturing: Benefits, Use Cases, & Risks

Edureka

AI in Manufacturing is an ideal match for the future because many manufacturing industries can produce an increasing number of products and identical parts, generating massive amounts of data and incurring significant costs. In this article, we will be explaining What is AI in Manufacturing? How is AI used in Manufacturing?

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Synthetic Data with Generative AI for Computer Vision

RandomTrees

Machine learning models rely heavily on large and diverse datasets to train and improve their ability to understand and interpret visual information. This is where synthetic data, generated using Generative AI techniques, steps in as a game-changer. Here’s how they work: 1.

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