Remove 2010 Remove ETL Remove LLM
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What if LLM is the ultimate data janitor

Bugra Akyildiz

If this phrase/definition does not take you back in 2010’s, I do not know what it would. This could even mean the traditional One LLM to rule them All? However, you still need the data, accurate data and provide guardrails so that when LLM does not have the facts, it would not make things up(so-called hallucination).

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Improving air quality with generative AI

AWS Machine Learning Blog

Cost-effective – The solution should only invoke LLM to generate reusable code on an as-needed basis instead of manipulating the data directly to be as cost-effective as possible. LLMs excel at writing code and reasoning over text, but tend to not perform as well when interacting directly with time-series data.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

Anthropic, an AI safety and research lab that builds reliable, interpretable, and steerable AI systems, is one of the leading AI companies that offers access to their state-of-the art LLM, Claude, on Amazon Bedrock. Let’s combine these suggestions to improve upon our original prompt: Human: Your job is to act as an expert on ETL pipelines.

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