Prompt engineering | Solutional Webdesign Antwerpen

TOUS 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Prompt engineering is a key technique in the field of intelligence artificielle^[1]. It refers to the process of crafting and structuring text in a way that enhances an AI’s understanding. This can involve various forms of text, including queries, commands, and contextual statements.

The goal is to provide the AI with clear instructions and useful context, which can improve its ability to reason and solve problems. Prompt engineering can be implemented in various ways, such as through chain-of-thought prompting, least-to-most prompting, and self-consistency decoding.

It also plays a significant role in the development of AI models, like text-to-image models, which generate visual art from text prompts. Additionally, it’s essential for addressing potential security^[2] concerns, as it can help protect large language models from prompt injection attacks.

Overall, prompt engineering is a crucial aspect of AI development and application, contributing to their effectiveness, safety, and performance.

Définitions des termes

1. ↑ intelligence artificielle.

1 Artificial Intelligence (AI) refers to the field of computer science that aims to create systems capable of performing tasks that would normally require human intelligence. These tasks include reasoning, learning, planning, perception, and language understanding. AI draws from different fields including psychology, linguistics, philosophy, and neuroscience. The field is prominent in developing machine learning models and natural language processing systems. It also plays a significant role in creating virtual assistants and affective computing systems. AI applications extend across various sectors including healthcare, industry, government, and education. Despite its benefits, AI also raises ethical and societal concerns, necessitating regulatory policies. AI continues to evolve with advanced techniques such as deep learning and generative AI, offering new possibilities in various industries.

2 Artificial Intelligence, commonly known as AI, is a field of computer science dedicated to creating intelligent machines that perform tasks typically requiring human intellect. These tasks include problem-solving, recognizing speech, understanding natural language, and making decisions. AI is categorised into two types: narrow AI, which is designed to perform a specific task, like voice recognition, and general AI, which can perform any intellectual tasks a human being can do. It's a continuously evolving technology that draws from various fields including computer science, mathematics, psychology, linguistics, and neuroscience. The core concepts of AI include reasoning, knowledge representation, planning, natural language processing, and perception. AI has wide-ranging applications across numerous sectors, from healthcare and gaming to military and creativity, and its ethical considerations and challenges are pivotal to its development and implementation.

2. ↑ security. Security, as a term, originates from the Latin 'securus,' meaning free from worry. It is a concept that refers to the state of being protected from potential harm or threats. This protection can apply to a wide range of referents, including individuals, groups, institutions, or even ecosystems. Security is closely linked with the environment of the referent and can be influenced by different factors that can make it either beneficial or hostile. Various methods can be employed to ensure security, including protective and warning systems, diplomacy, and policy implementation. The effectiveness of these security measures can vary, and perceptions of security can differ widely. Important security concepts include access control, assurance, authorization, cipher, and countermeasures. The United Nations also plays a significant role in global security, focusing on areas like soil health and food security.

Articles connexes :

Glossaire

Ingénierie rapide (Wikipedia)

Ingénierie rapide is the process of structuring text that can be interpreted and understood by a generative AI model. A prompt is natural language text describing the task that an AI should perform.

A prompt for a text-to-text language model can be a query such as "what is Fermat's little theorem?", a command such as "write a poem about leaves falling", or a longer statement including context, instructions, and conversation history. Prompt engineering may involve phrasing a query, specifying a style, providing relevant context or assigning a role to the AI such as "Act as a native French speaker". A prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), an approach called few-shot learning.

When communicating with a text-to-image or a text-to-audio model, a typical prompt is a description of a desired output such as "a high-quality photo of an astronaut riding a horse" or "Lo-fi slow BPM electro chill with organic samples". Prompting a text-to-image model may involve adding, removing, emphasizing and re-ordering words to achieve a desired subject, style, layout, lighting, and aesthetic.

" Retour à l'index des glossaires