To get started with AI and agents the very first step is to choose an LLM you want to work with, OpenAI, Gemini Anthropic or which ever you choose. Here are some aspects you should take into consideration for making your choice.
Accuracy
If your task needs accuracy or factual correctness take a look at models with strong reasoning performance.
Speed
If your use case is speed in answering, for instance with a chatbot in Support or Call-Center, search for models which are lightweight and have low latency.
Creativity
If you need creativity, choose a model which has his strengths there. Use cases like Marketing, Storytelling or creative writing are such.
Cost
More content mean more tokens, which leads to more compute resources by the LLM. That will lead to higher energy consumption and resource usage. At the end, that ends up in higher costs.
If you need to work at scale or within a budget, choose a model with a good balance between cost and performance.
Context window size
The context window refers to how much text the model can process at once. If your application involves summarizing long documents, analyzing chat history, or referencing multiple data points, you need a model with a large context window.
Privacy and deployment options
If you’re dealing with sensitive data or have strict #compliance requirements, you may need an LLM that supports private hosting or runs on your own infrastructure. OpenSource models give you full control, allowing you to comply with data governance policies.
