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Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative AI model. [1] [2] A prompt is natural language text describing the task that an AI should perform: [3] a prompt for a text-to-text language model can be a query such as "what is Fermat's little theorem?", [4] a command such as "write a poem about leaves falling", [5] or a ...
Prompt injection is a family of related computer security exploits carried out by getting a machine learning model (such as an LLM) which was trained to follow human-given instructions to follow instructions provided by a malicious user. This stands in contrast to the intended operation of instruction-following systems, wherein the ML model is ...
Retrieval augmented generation (RAG) is a type of generative artificial intelligence that has information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information in preference to information drawn from its own vast, static training data.
2.2 Prompt engineering and sharing. 2. ... Download as PDF; ... Scott Draves and a team of several engineers created and released Electric Sheep as a free ...
Conventional Prompt Strike (CPS), formerly called Prompt Global Strike (PGS), is a United States military effort to develop a system that can deliver a precision-guided conventional weapon strike anywhere in the world within one hour, in a similar manner to a nuclear ICBM. [1][2] Such a weapon would allow the United States to respond far more ...
Science with neutrons. Prompt-gamma neutron activation analysis (PGAA) is a very widely applicable technique for determining the presence and amount of many elements simultaneously in samples ranging in size from micrograms to many grams. It is a non-destructive method, and the chemical form and shape of the sample are relatively unimportant.
Prompt neutron. In nuclear engineering, a prompt neutron is a neutron immediately emitted (neutron emission) by a nuclear fission event, as opposed to a delayed neutron decay which can occur within the same context, emitted after beta decay of one of the fission products anytime from a few milliseconds to a few minutes later.
Firstly, prompt engineering is used from a user's standpoint, emphasizing crafting series of prompts to achieve the best outcomes or guide the model's behavior within the scope of a single conversation. On the other hand, in-context learning is used from a machine learning perspective.