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Sharing agricultural data: Distributed ledger technology for enhanced machine learning in plant phenotyping

Sharing agricultural data: Distributed ledger technology for enhanced machine learning in plant phenotyping
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The Global Data Labeling Solution and Services Market size

How To Utilize AI As A Key Defense Mechanism In Cybersecurity

By harnessing AI capabilities to strengthen and reinforce defense systems, organizations could enhance resilience and protect against evolving cybersecurity threats.

Prompt Engineering

Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights. It is an empirical science and the effect of prompt engineering methods can vary a lot among models, thus requiring heavy experimentation and heuristics. This post only focuses on prompt engineering for autoregressive language models, so nothing with Cloze tests, image generation or multimodality models.

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