Here is our short list of LLM tools for any LLM stack, including application development, model serving, chatbots, vector databases, and more.

OpenAI function calling extends the capabilities of large language models by providing them with tools for calling external APIs and applications.

Learn about prompt engineering examples and techniques for designing clear AI requests. Get the best LLM outputs with our list of practical tips and strategies.

Learn about LangChain runnables, how they work, and when best to use them. We also contrast runnables with Mirascope's pythonic chaining techniques.

Prompt chaining is a way to simplify large, complex prompts by breaking them down into smaller prompts, each making their own separate LLM call.

Following prompt engineering best practices helps you elicit accurate and reliable responses from the LLM. Here are 8 best practices with examples.