Initial AI adoption can seem like a daunting task. Where do we even start? We bought some Co-Pilot licenses and we have ChatGPT accounts but now what. How do we build traction and value in our business?
Understanding LLMs
Large Language Models, also known as LLMs, are one of the foundations of AI. These are advanced AI models that understand and generate human language. LLMs are trained with enormous amounts of data to learn language patterns and relationships. LLMs are used for many tasks, including text summarization, translation, and content creation.
Many different LLMs exist. Some common ones that many are familiar with include OpenAI, Llama, Claude, and Gemini. ChatGPT for example primarily relies on OpenAI while Llama is part of Meta. Claude is Anthropic’s LLM. Gemini is Google’s AI LLM. Each of these LLMs focuses in differing areas and each does better at their specific vertical. In other words, it is not a one LLM is better than the other world.
Getting Started
The best thing to do to start understanding the strength of AI is to start a chat window and start asking questions. Input your company’s URL in the chat window and ask for a summary about your company as a starting point. This can also be tested with multiple LLMs to see the various output results.
Once you have completed this, ask the chat about your company and name one of your competitors. Ask the chat to compare and contrast the two companies. Ask any other questions that come to mind about your company, the other company, and your industry in general.
Getting the Hang of LLMs
Time is your best friend when learning LLMs. Set a goal to use an LLM each day or several times a week. It takes a bit to get the hang of how to ask the LLMs a question. It also takes practice in getting the LLM to produce content or documentation. Here are some great questions to ask different LLMs as you start this process:
- Write a short story about a day in the life of a super hero.
- Ask for a blog post about the importance of daily exercise.
- Have a conversation with a specific topic such as space exploration or electric vehicles.
- Ask AI for its opinion about a major milestone in your industry.
There are many other uses for generative AI. This is only the start.
Moving Farther into AI Adoption
Understanding the power and some of the possibilities of AI is the start in your initial AI adoption journey. The above exercises will help you gain knowledge of how LLMs process questions and the results that they can produce.
Once you are in a cadence with regular practice, you will quickly learn more about how to ask AI questions and tailor the results. These results can easily be leveraged in anything from responding to a tough email, writing a process document, or comparing two competing vendors in your industry.
Key Takeaways
AI adoption continues to move quickly. If your company is not making a continuous investment in your AI journey, you will quickly be left behind others. Initial AI adoption does not have to be rocket science. Start simple and start small. Walk first and then trot. Larger things will come but it is important to start somewhere and learn and grow continuously.
About Intelos
Intelos is a managed services provider (MSP) based in Texas and Louisiana. Our primary focus is energy, manufacturing, and local government. We are a cloud and security focused MSP with a mission to empower organizations with transformative technology, guiding them towards enhanced efficiency, profitability, and risk mitigation.