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The Shift from Models to Compound AI Systems

BAIR

This is enforced with the `more` excerpt separator. --> AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. In this post, we analyze the trend toward compound AI systems and what it means for AI developers.

AI 145
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How HR Tech Company Sense Scaled their ML Operations using Iguazio

Iguazio

Sense is a talent engagement company whose platform improves the recruitment processes with automation, AI and personalization. Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization including a large number of data and AI professionals.

ML 52
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How Sense Uses Iguazio as a Key Component of Their ML Stack

Iguazio

Sense is a talent engagement platform that improves recruitment processes with automation, AI and personalization. Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization, including a large number of data and data science professionals. Enabling quick experimentation.

ML 52
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Authoring custom transformations in Amazon SageMaker Data Wrangler using NLTK and SciPy

AWS Machine Learning Blog

In other words, companies need to move from a model-centric approach to a data-centric approach.” – Andrew Ng A data-centric AI approach involves building AI systems with quality data involving data preparation and feature engineering. AWS AI services easily integrate with your applications to address many common use cases.

AWS 101
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The Shift from Models to Compound AI Systems

BAIR

This is enforced with the `more` excerpt separator. --> AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. In this post, we analyze the trend toward compound AI systems and what it means for AI developers.

AI 40