Quick approaches to using LLMs in Business

The Rise of AI in Business

With the recent explosion of AI, businesses are eagerly looking to incorporate AI technologies into their operations. There are two popular methods currently in use:

  1. Using an AI model trained by another organization: This involves utilizing models like ChatGPT, hosting it yourself, or using tools such as Botpress or Stack AI.
  2. Building your own private Large Language Model (LLM): This can be costly, so a more viable alternative for most businesses is to retrain an existing model to suit their needs.

In this article, I'll focus on what I believe is the easiest and quickest way to build AI functionality in a business - using existing tools and customizing the behavior of the model.

Utilizing Pre-trained AI Models

Pre-existing AI models like ChatGPT are incredibly versatile and user-friendly. They’re ready to deploy immediately, capable of tasks ranging from customer service to content creation. The simplicity of setting up the correct prompts makes these models akin to having a personal assistant.

Leveraging Chatbots

Platforms like Stack AI and Botpress simplify the creation and customization of chatbots. Stack AI offers an intuitive interface for integrating with ChatGPT, making it accessible even for those without coding skills. Botpress, on the other hand, provides a quick way to integrate your bot with various applications, from WhatsApp to webhooks.

LangChain for Contextual Chatbots

LangChain can be used to build chatbots that utilize business documents as context. This allows the chatbot to remember previous conversations, enhancing its interaction capabilities.

Building a Personal Chatbot

I recently built a chatbot using my productivity notes as context in LangChain, with ChatGPT 3.5 as the primary AI model. In StackAI, I managed the chatbot's workflow and integrated it with Langchain, while Botpress was used to tailor response styles. Additionally, I created a WhatsApp bot using my Meta Developer account, which provided both utility and entertainment.

The Future of AI in Business

The integration of AI in business, especially chatbots, is rapidly becoming a standard. To stand out, businesses will need to focus on creating unique and innovative AI solutions.

Conclusion

Whether it's utilizing pre-trained models, leveraging chatbots, or developing custom AI solutions, there are various approaches available for businesses looking to integrate AI. It's an opportunity to enhance customer experiences, streamline operations, and maintain a competitive edge. Embracing AI can transform it from a daunting challenge into a powerful tool for business growth.