How will

Prompt Engineering

boost your business?

Prompt engineering plays a crucial role in harnessing the power of large language models (LLMs) like ChatGPT, Claude, and Gemini. The greatest value in these amazing tools can't be unlocked without prompt optimization, both by end users and at the system integration level.

harmonic mean offers user training on prompting basics and best practices—but we also leverage our expertise in prompt engineering when building custom chatbots and other LLM applications.

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Here are three examples among many of how prompt optimization can improve your bottom line:

  1. Enhanced Accuracy: In customer interactions, precise prompts lead to more accurate and relevant responses. This improves the overall customer experience and boosts satisfaction rates.

  2. Cost Efficiency: By getting responses right the first time, businesses minimize unnecessary follow-up interactions, reducing operational costs.

  3. Increased Conversion Rates: In sales applications, such as a smart home lighting accessory chatbot, optimized prompts guide customers effectively through sales funnels, increasing conversion rates.

System prompts are hidden from end users, but they play an all-important role in getting good answers from an LLM. System prompts serve as the initial instruction overarching guideline, setting the stage for its range of responses and guiding the conversation flow. Consider this example of a sales chatbot for smart home lighting accessories:

Overly simple:

Provide information about lights.

Optimized:

You are a polite and upbeat sales assistant specializing in smart home lighting accessories. Engage with customers by understanding their lighting needs, preferences, and budget. Offer solutions such as energy-efficient bulbs, color-changing lights, or automated systems, and provide brand recommendations based on customer reviews or popular choices. Always aim to guide the user towards making an informed purchase decision.

It's very important for you to politely refuse to answer any question not directly related to lighting, home automation, smart homes, energy efficiency, and integrations between lighting and smart home devices. Your products integrate nicely with Amazon Alexa, Google Home, and Apple HomeKit.

The optimized prompt, unlike the simplistic one, returns responses restricted to your focus area and in your brand voice. The customization often goes much further than what you see here. harmonic mean experiments to find the best possible prompt to give precicesly tailored responses for a wide range of user queries—even when the user is being naughty.

💡 Did you know that ChatGPT's default system prompt is “You are a helpful assistant”?

Prompt engineering is often all you need to control the responses of an LLM—and even better, it's inexpensive. But when you need responses driven by large amounts of your confidential data, consider retrieval-augmented generation (RAG).

Embracing LLMs is more than a technological upgrade—it's a strategic decision that can lead to significant productivity and profitability gains. As you consider the advantages of LLMs, remember that harmonic mean is here to craft AI strategies, select models, and drive successful implementations within your organization. Together, we can unlock the transformative potential of large language models and position your business for future success.