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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.

Apple has released iOS 15.4.1 and iPadOS 15.4.1 to fix the issue that was reportedly causing the batteries in iPhones and iPads to drain more quickly than expected

While many iPhone users have eagerly downloaded the update already, several have reported that iOS 15.4 is affecting their battery life.

Apple's iOS 15.4 update includes 37 new emoji, including a pregnant man, a motorcycle tyre, a slide, a disco ball, a troll with a club, coral, kidney beans and a low battery.

With the 'Face ID with a mask' option, iPhone can recognise the unique features around the eye area to authenticate.