How to Choose an LLM

Different LLMs have varying strengths and weaknesses. Understanding the strengths and weaknesses of different language models is crucial, as it allows you to select the most efficient tool for your specific needs. When you evaluate and test various LLMs, you are essentially comparing their ability to answer different types of questions, their performance, and their cost-effectiveness. This comparison isn't merely an academic exercise but a critical step in identifying which model can best serve your needs in real-world applications. This process is straightforward and achievable with the right tools and guidance, so everyone can benefit from the advancements in artificial intelligence.

How to Evaluate and Test Different LLMs

Now that we have identified some key factors to consider, let's look at how you can evaluate and test different LLMs in a matter of minutes.

1. Start by identifying your specific use case for an LLM. This will help you narrow down the list of available options. A great first use case is an employee assistant since it is straightforward and more than likely you have the data to support the test. We chose this use case in Comparing Large Language Models for Your Enterprise: A Comprehensive Guide.
2. Gather the documents related to your use case. These documents will serve as the basis for generating questions to test the LLMs. If you want to run a similar test to ours you can use your employee handbook or another resource that you are familiar with.
3. Import your documents into Krista and write down the questions that you would like to ask of your data. If you have FAQs available based on your document, then you can use those questions, different ones, or a combination.
4. Choose 2-3 LLMs that you want to compare and run each question through them, recording their responses. Krista provides you with a conversational interface to ask questions about your document sets. 
5. Evaluate the accuracy, performance, and cost of each model's responses. 
6. Consider any other relevant factors, such as data security, when making your final decision.
7. Repeat the process with different sets of questions and documents to thoroughly test each LLM. If you want to connect a system like a ticketing system, CRM, or email inbox, contact us for help.

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