#data-labeling
#data-labeling

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Leaked docs show how Meta's AI is trained to be safe, be 'flirty,' and navigate contentious topics

Meta aims to create a fun yet safe AI by categorizing user prompts and setting strict guidelines for sensitive content.

Organizations are shifting from manual data labeling to automated methods using Large Language Models (LLMs) to enhance efficiency and accuracy.

ScaleAI aims for a valuation of $25 billion amid rising demand for AI-driven data labeling.

Effective AI use requires careful consideration of its applications, particularly avoiding the hype surrounding generative AI.

Software development is currently the most effective use case for AI adoption in enterprises.

Uber is entering the AI data labeling market with its new Scaled Solutions division, responding to rising demand in the gig economy.

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