Ryno Kleinhans and Matthew Tam
With the rise of Large Language Models (LLM), it has become easier for non-technically trained people to produce code and even implement their own LLM chatbots. Why then, should you consider hiring a professional, like Praelexis, to personalise and implement an LLM for your business? Chances are that your organisation does not lack the technical skills or the knowledge to learn the basics of LLM use. What sets Praelexis apart is our focus on Responsible AI and our expertise in prompt engineering and security. This is important when it comes to opening up an LLM for public use. We believe in creating sustainable value. This means crafting data products that contribute to the betterment of the world, are safe to use and provide long-term solutions.
Why would you hire an expert to implement a Large Language Model for your business?
When implementing a language model application for your business you need to consider the following:
- Will our LLM application produce ethical responses? This entails crafting an LLM application that avoids racists, sexists, or otherwise discriminatory responses.
- How will we engineer our system prompt? In other words, what company-specific instructions will be given to our LLM application?
- How will we ensure that the LLM application makes use of reputable sources to give factually accurate responses?
- How do we ensure that the LLM application stays on topic?
- If the goal of our LLM chatbot is to keep customers within our ecosystem, how do we ensure that the chatbot does not recommend our competition to our customers?
These are the kinds of serious questions that businesses should consider when implementing an LLM application. Consulting an expert is one of the best ways to tackle these problems.
Why is Responsible AI important for implementing a Large Language Model?
Responsible AI systems are aligned with human values, such as data safety, accountability, transparency, and robustness. Praelexis’ values align with the Sustainable Development Goals of the UN, to ensure that we innovate for a better world.
At Praelexis Responsible AI is a part of our DNA. We’ve been thinking about the ethical implications of our solutions, long before the launch of ChatGPT. We not only think about the implications of our solutions for our clients but also the implications that they might have on their customers. Our approach is end-to-end. This means we assist clients from the conceptual phase to the practical implementation of a solution. As such, we think about the ethical implications of each part of the process as well. Is this something we want to be crafting? How will it affect its users? These are the types of questions we ask ourselves when designing data products.
Many of the possible failings of an LLM application have dire ethical consequences. Consider, for example, a client consulting an LLM chatbot for medical advice. Incorrect medical advice could lead to injury or in extreme cases, death. Other fields where advice should be expertly curated include the financial and the legal sector. At Praelexis we do not only consider whether the AI that we craft passes our ethical guidelines, we also consider the impact our models have on our client’s customers. Ultimately, we want to craft solutions that make the world a better place.
What can go wrong if you do not have an expert implement your Large Language Model?
There is a large array of potentially harmful incorrect responses an LLM chatbot can provide the user if the developer has not taken proper safeguarding measures. This is why it is important to turn to an expert. These types of issues include, but are not limited to:
- Giving off-topic responses
- Racist, sexist or otherwise offensive remarks
- Incorrect advice (this is particularly dangerous about medical, psychological and financial advice)
- If you are a business trying to sell your product to the user, a chatbot that refers the client to your competition could be harmful to your bottom line
Prompt engineering is a field that is blossoming, because of the rise of the use of LLMs and it entails carefully crafting input queries to guide and control the responses generated by AI models. One of the solutions to the problems mentioned above is to consult a prompt engineering expert.
In conclusion…
There are quite a few things to consider when implementing an LLM for your business. Ideally, you would consult experts in prompt engineering and Responsible AI. Praelexis is the perfect partner for your business LLM journey. Responsible AI is a part of our DNA. With each project, we consider the ethical implications, not only for our clients but also for their customers. Furthermore, we are experts in prompt engineering and will be able to help you safeguard and personalise your LLM so that it will give factually correct, expert advice to your users.
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