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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
phys.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from phys.org Daily Mail and Mail on Sunday newspapers.

Stefan Paulus , Plant Phenomics , Distributed Ledgers Help , Labeled Data , Agricultural Machine Learning , Can Distributed Ledgers Help ,

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. ....

Monte Carlo , Wikipedia Apis , Autoprompt Shin , Li Liang , Toolformer Schick , Program Of Thoughts , Prompt Engineering , In Context Prompting , Reinforcement Learning , Human Feedback , Self Taught Reasoner , Interleaving Retrieval Cot , Neural Text , Automatic Prompt Engineer , Open Domain Question Answering , Google Search , Tool Augmented Language Models , Before Use , Improving Few Shot Performance , Language Models , Makes Good In Context Examples , Ordered Prompts , Find Them , Overcoming Few Shot Prompt Order Sensitivity , Context Instruction Learning , Consistency Improves Chain ,