Prompt engineering is the process of crafting a high-quality written prompt for a language model to generate a specific output. This can involve providing context, specifying the style or structure of the response, providing examples, or using clever tricks. The goal is to create a prompt that will result in accurate, relevant, and coherent text that meets the needs of the user or application. Curvestone have been providing technology consulting and training services in both generative AI and other technologies for years. Explore the detail of our prompt engineering services below to see how we can help you.
Prompt engineering is crucial for getting the best results from LLMs and can be used in a wide range of applications, including asking questions of a set of documents, searching for content, language translation, content generation, and many more. By tailoring the prompt to the specific task at hand, users can ensure that they get the most useful and relevant output from the LLM. Without good expertise in this area, we’ve seen companies face some of the following typical challenges:
One of the biggest challenges companies face when it comes to prompt engineering is a lack of expertise. Using LLMs effectively requires specialised knowledge and experience which is very different from existing skillsets. Many companies do not have the in-house expertise to effectively leverage LLMs to provide significant value.
Someone is only as effective as their tools enable them to be. At best, companies allow access to simple general purpose tools, such as ChatGPT. At worst, these tools are blocked for security reasons and staff have little options. The power of LLM’s goes far beyond a simple chat interface, and requires specialist tooling and processes to enable effective use, e.g. to enable iterative development and evaluation of prompts, or to enable a chain of requests that feed into each other.
Many of the most valuable use cases for LLMs involves using your own proprietary or otherwise sensitive data. Tools such as ChatGPT are not suitable for many businesses as it stores and sometimes even uses your data for training their models! This, and other missing enterprise features, means that a dedicated enterprise-ready platform is required to enable the workflow to utilise LLM capabilities.
Our prompt engineering services, detailed below, will help your business achieve:
By leveraging the power of large language models more effectively, gain a competitive advantage in your industry now. Stand out from the competition, improve customer satisfaction, and grow your business. Our Prompt Engineering service can help you unlock the full potential of large language models, giving you an edge in the marketplace.
The future will require advanced understanding and consistent use of LLMs, so seize the moment and improve your prompt engineering capabilities in order to harness their full potential, stay ahead of the competition in leveraging AI technologies, and adapt more effectively to evolving industry demands.
Improved prompt engineering can lead to improved job satisfaction for your employees by empowering them to effectively utilise LLMs, and reduce their time spent on more mundane tasks. It will help you to achieve more accurate and efficient results, and enhance your skills and expertise in working with cutting-edge AI technologies.
At Curvestone, we can offer the following supporting services to help you with your prompt engineering needs:
LLM’s, such at ChatGPT, have made powerful AI accessible to most people, however to harness it’s full potential requires understanding what the technology can (and can’t do), how to craft optimised queries (i.e. prompt engineering), and what tools are available to use the technology in more advanced ways.
Curvestone have been providing technology consulting & training services in both generative AI (e.g. LLM’s) and other technologies for years. This often involves explaining / teaching technical concepts to enable business users to understand and make the most of technology.
As part of our ‘LLMs for Everyone’ course we will cover a range of topics, from history & background of large language models to the latest and greatest models, and from how to craft effective prompts to using tools to connect these LLM’s to your own data.
We have prepared datasets for you to experiment with, and will provide hands-on support to apply these techniques to your use cases.
Crafting an optimised set of queries for LLMs (i.e. prompt engineering) for a specific capability is an art that takes time to refine, and an understanding of the tools and techniques available to manage and evaluate the outcome.
Curvestone has experience engineering prompts both for our clients and for our own platform: WorkflowGPT. If you have a specific capability or use case in mind that you would like to solve using LLMs but are struggling to get it to work then Curvestone can help define the art of the possible.
Once we’ve developed the capability, we can work with you to build it into component as part of out WorkflowGPT platform to productionise the capability.
The ESG space can be daunting. For companies new to ESG, with limited experience and understanding of the field, we can provide advice on how to identify value and set you on the right path.
ESG is all about data - so we will start from there. Our team will bring scientists and consultants that can evaluate and help you understand how ready you are to start your ESG Digital Transformation.
There is a lot happening in ESG right now. For companies that want to understand the competition, or need help making a strategic decision like a Make or Buy, we can structure and organise the process so you are confident you are making an informed decision.
Sometimes bringing the ESG expertise and capability internally is necessary. We have delivered custom ESG solutions for clients - we will help you identify the business and user needs, and build bespoke functionality to match your process requirements.