Prompt chaining is a technique used when working withgenerative AImodels in which the output from one prompt is used as input for the next. This method is a form ofprompt engineering, or the practice of eliciting better output from pretrained generative AI models by improving how questions are ...
01-ai/Yi-1.5Public NotificationsYou must be signed in to change notification settings Fork30 Star511 New issue taozhiyuaiopened this issueMay 12, 2024· 3 comments taozhiyuaicommentedMay 12, 2024 what is the prompt template on ollama
The article focuses on the ethical considerations related to the use of artificial intelligence (AI) in education, particularly in the field of medicine, highlighting concerns such as academic integrity, privacy, and biases in language algorithms. It also mentions the ...
Intro to Prompt Engineering: What is a Prompt? Step 1 Step 2 Step 3 Prompt engineering is the practice of carefully crafting and optimizing prompts (input text or queries) to guide the responses of Artificial Intelligence (AI) models, such as GPT-3 and DALL-E. Learning how to effectiv...
An AI prompt is a snippet of text or information that implies your intention to AI and helps direct their response so it’s specifically tailored to your request.
An AI prompt is the input submitted to a large language model (LLM) via a generative artificial intelligence (GenAI) platform, like OpenAI's ChatGPT or Microsoft Copilot. The prompt can be defined as a question, command, statement, code sample or other form of text. Some LLMs also ...
Here’s how ChatGPT-4 used the method to expand the context of a simple statement: “Exercise is good for your health”. 6. Content Summarization With Specific Focus Effective prompt engineering is also about directing the AI’s attention to specific parts of the input, especially when you ...
Learn what AI prompt engineering is, and how it's shaping marketing and other industries. Find out how to become a professional prompt engineer.
Prompt engineering is the process of designing and refining the inputs given to AI systems to elicit the most relevant output. This discipline lies at the heart of effective AI communication, ensuring that the interactions between humans and machines lead to useful and accurate information exchange....
同一个 prompt 在不同的模型、不同採样器 (sampler)、不同 LoRA 等不同条件中,会有不同的对应结果,因此需要明白 prompt没有绝对的万用标准版。 同样是生成式 AI,语言模型 (e.g. ChatGPT) 和绘图模型 (e.g. Stable Diffusion) 是两码子事,工作原理完全不一样。