Using Groq to Access LLMs

Seeing how SLMs can struggle with reasoning and understanding, let’s explore larger versions of language models and how they perform in reasoning abilities.

Moving to larger models

Transitioning from SLMs to LLMs can significantly improve language generation and understanding. LLMs can generate highly coherent and informative text and can be used for a variety of applications, such as customer service chatbots, content creation, and language translation. LLMs will also be able to serve our use case well. However, these models often require a lot of computing resources to run. Various providers offer LLMs as a service. Chatbots powered by these LLMs are often free, whereas accessing the underlying models using APIs is often a paid service.

Free services are a great place to start. They allow us to experiment and get familiar with the technology. Providers that offer hosted LLMs for free usually have a paid tier with enhanced capabilities as well. One such provider is Groq.