Sun.May 05, 2024

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Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach

Data Engineering Podcast

Summary Artificial intelligence has dominated the headlines for several months due to the successes of large language models. This has prompted numerous debates about the possibility of, and timeline for, artificial general intelligence (AGI). Peter Voss has dedicated decades of his life to the pursuit of truly intelligent software through the approach of cognitive AI.

Building 147
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How Business Agile Can Increase the Effectiveness of Your Team

Knowledge Hut

In the dynamic world of business, the only constant thing is change. Hence, each organization, regardless of its size, market share, product, or service range, location or brand has to learn to adapt quickly to the ever-changing corporate reality. The modern term of this process is referred to as business agility and often, this is one of the most valuable assets a company may have.

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Key Moments From Kafka Summit Bangalore: AI Model Inference, Freight Clusters, and More

Confluent

A lookback at all the exciting happenings at our first-ever Kafka Summit Bangalore—and some key announcements, including Confluent Platform for Apache Flink.

Kafka 81
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Data Engineering Weekly #170

Data Engineering Weekly

Ken Liu: Machine Unlearning in 2024 One of the insightful articles is about the growing adoption of one large language model and the challenge it brings to machine unlearning. The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.