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Wageningen University & Research's AGROS project aims to develop an autonomous greenhouse using AI algorithms and digital twin technology for remote control of cucumber cultivation.

As greenhouse cultivation faces challenges such as staff shortages and increasing resource costs, the project uses non-invasive sensors to monitor crop characteristics and support management decisions for sustainable cultivation. The project has three compartments where it pits digital twin technology, reinforcement learning, and human experts against each other to achieve the best crop yields. It is a public-private partnership that includes Greenport West Holland, Hortilux, Ridder, and Philips.

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Researchers from Johns Hopkins University have found a simple technique to reduce hallucinations in large language models (LLMs) and improve the accuracy of their answers. By adding "according to" in queries, LLMs are more likely to quote observed text and provide factual information instead of fabricating answers.

A review of LLM responses using the QUIP score metric shows a 5-15% increase in the accuracy of cited information when using grounding prompts such as "According to Wikipedia...". While the technique works well across different LLMs, it is most effective with larger instruction-tuned models.

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ChatGPT now provides contextual questions and answers in each chat, as well as suggestions for starting a new chat on various topics, such as "Explain airplane turbulence". The questions and answers are displayed above the chat box and relate to the content already generated. This is similar to the suggestions that Microsoft displays in the Bing chatbot.

No official information about the new feature has been released by OpenAI yet.

ChatGPT generates contextual questions. | Image: THE DECODER
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