Large language models (LLMs) like GPTs are incredibly powerful, but working with their open-ended text outputs can be challenging. This is where the Instructor library shines - it allows you to easily map LLM outputs to structured data using Python type annotations.
Its a common misconception that LangChain's LangSmith is only compatible with LangChain's models. In reality, LangSmith is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM applications. In this blog we will explore how LangSmith can be used to enhance the OpenAI client alongside instructor.
I just released a free course on wits and biases. It goes over the material from tutorial. Check it out at wandb.courses its free and open to everyone and just under an hour long!
Click the image to access the course