# The Model Your agent is an LLM model (for e.g; chatgpt ), you provide a text, and based on its context, it gives you an outcome, based on patterns it was trained on. Choosing the model is the most important choice you have to make, as it will decide how your agent behaves, thinks, responds and takes actions. You can also chose multiple models for different part of your agent. Here are few points which may help you : 1. GPT model - gpt models by [openai](https://openai.com/api/) are good at reasoning, they are extremely good at that, but that’s all. They are not good with anything tech, you may have noticed this while using chatgpt vs claude. 2. [Anthropic](https://www.anthropic.com) - anthropic models are best when you need to perform technical actions, there technical thinking ability is good 3. [LLAMA](https://www.llama.com) - it’s an open source model, which powers majority of models out there --- gpt and claude are good at reasoning but because they are censored models, you can’t customize them a lot which can result in bot’sh behavior. For cheap inference, do check [Inference](https://inference.net) by Kuzco. 4. BYOM - you can choose to bring your own model and train on cluster providers like [ionet](https://docs.io.net/) which provides gpu’s for training. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://resources.sendai.fun/components-to-build-an-agent/the-model.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.