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New Applied ML Research: Meta-Learning & Structural Time Series

Cloudera

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. Evolving Research At Cloudera Fast Forward. Meta-Learning.

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Composable data management at Meta

Engineering at Meta

We’re sharing how we’ve achieved this, in part, by leveraging Velox , Meta’s open source execution engine, as well as work ahead as we continue to rethink our data management systems. Data is at the core of every product and service at Meta. Often, however, data systems do require specialized behavior.

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Machine Learning Made Easy: Q&A with Snowflake Head of Artificial Intelligence and Machine Learning Strategy Ahmad Khan

Snowflake

Well, more specifically, LLaMA (Large Language Model Meta AI), along with other large language models (LLMs) that have suddenly become more open and accessible for everyday applications. And who better to chat about ChatGPT with than Ahmad Khan, Head of artificial intelligence (AI) machine learning (ML) strategy at Snowflake?

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Prompt Engineering: The Guide to Mastering The Art of Talking to AI

AltexSoft

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” Watch our video about data preparation for ML tasks to learn more about this. Transformers are the basis for many LLMs, including the well-known GPT series. Scalability.