- Updated: March 17, 2024
- 6 min read
Generative AI in Business: The Guide to Prompt Engineering
In today’s fast-paced business world, staying ahead of the competition requires more than just hard work and dedication. It requires the ability to harness the power of technology to streamline processes, improve efficiency, and gain a competitive edge. One such technology that has the potential to transform businesses of all sizes is Prompt Engineering.
What is Prompt engineering?
Prompt engineering is the art and science of crafting effective prompts or instructions that can be used to generate desired outputs or responses from language models like GPT-3. By providing the right prompts, businesses can automate a wide range of tasks, from customer support and lead generation to content creation and data analysis.
One of the key benefits of prompt engineering is that it enables businesses to save time and resources by automating tasks that would otherwise require manual effort. For example, by using prompt engineering to generate product descriptions or blog posts, businesses can free up their content teams to focus on higher-level tasks like strategy and planning.
In addition, prompt engineering can also help businesses improve the quality and relevance of their outputs. By providing specific keywords and context, businesses can ensure that their language models generate content that is tailored to their specific needs and audience. This can help businesses stand out from the competition by offering unique and valuable content that resonates with their customers.
Basic prompting
Basic prompting involves providing clear and specific inputs to language models to generate desired outputs or responses. This technique requires selecting the right keywords and providing relevant context to help the language model understand the task it needs to perform. By mastering the basic prompting technique, businesses can improve efficiency, accuracy, and scalability in their operations.
Prompts can be highly effective, but the quality of the results they produce is directly influenced by the amount and quality of the information provided. To create a successful prompt, it’s important to include key details such as instructions or questions for the language model, as well as any relevant inputs or examples.
Prompts for Information Extraction
Prompts are a powerful tool for information extraction, which is the process of automatically identifying and extracting relevant information from unstructured data sources such as text documents, websites, and social media posts.
One way to use prompts for information extraction is to provide a specific instruction or question to a language model, along with examples of the types of information you are looking to extract. For example, you might provide a prompt like this:
"Extract the names and contact information for all the attendees of the upcoming conference on artificial intelligence. The information should be presented in a structured format, with each attendee's name and contact information separated by a comma."
With this prompt, you are giving the language model specific instructions on what information to extract and how to present it. The model can then analyze the data sources provided, identify relevant information based on the prompt, and extract the names and contact information for each attendee in a structured format.
Another way to use prompts for information extraction is to provide a set of examples that the language model can use to learn how to identify relevant information on its own. This is known as supervised learning, and it can be highly effective for training language models to extract specific types of information from unstructured data.
Create your own AI app for Information Extraction
UBOS is a low-code/no-code platform that enables businesses to create custom AI applications for information extraction without needing extensive coding skills. With UBOS, users can easily create AI-powered apps that can extract information from a variety of sources, such as social media posts, news articles, and customer reviews.
Some of the AI apps on the UBOS platform for information extraction include an Extract Contact Information app that can quickly extract phone numbers, email addresses, and other contact details from large volumes of text.
Live preview:
One of the great things about the UBOS.tech platform is that it offers several app templates for information extraction, making it easy for users to get started with their own projects. The platform’s template library includes a wide range of pre-built apps, each with a live preview and links to the code, making it easy for users to see how the apps are built and modify them as needed.
More app templates for information extraction:
- https://ubos.tech/listing/keywords-extraction-with-chatgpt-api/
- https://ubos.tech/listing/airport-code-extractor/
To explore more UBOS templates for information extraction, check out the platform’s template library at: https://ubos.tech/templates/
Prompts for Product Description generation
Let’s say you are a business owner who wants to automate the process of generating product descriptions for your e-commerce store. To do this, you could use basic prompting to provide clear and specific instructions to a language model like GPT-3.
Your basic prompt could look something like this:
"Generate a product description for a black leather jacket. The description should be between 50 and 100 words, and should highlight the jacket's unique features and benefits, such as its durability, comfort, and style. The description should also be written in a way that resonates with our target audience, which is fashion-conscious consumers who are looking for high-quality, timeless wardrobe staples."
By providing this prompt, you are giving the language model the specific inputs it needs to generate a high-quality product description that meets your specific requirements. The language model can then analyze the prompt, identify relevant keywords and context, and generate a product description that meets your specifications.
The result might look something like this:
“Introducing our black leather jacket, the perfect addition to any fashion-conscious consumer’s wardrobe. Crafted from premium materials and designed with both style and durability in mind, this jacket is built to last. With its comfortable fit and timeless design, it’s sure to become a staple in your wardrobe for years to come. Whether you’re dressing up for a night out or running errands around town, this jacket is the perfect choice for any occasion.”
Example of the app for product name generation: https://ubos.tech/listing/product-name-generator-ai-app-template/
Live preview:
Andrii Bidochko
CEO/CTO at UBOS
Welcome! I'm the CEO/CTO of UBOS.tech, a low-code/no-code application development platform designed to simplify the process of creating custom Generative AI solutions. With an extensive technical background in AI and software development, I've steered our team towards a single goal - to empower businesses to become autonomous, AI-first organizations.