All Tutorials

Explore how DSPy's assertions and suggestions can help guide the output of large language models like GPT-3, ensuring better accuracy and alignment with specific requirements. This post includes practical examples and insights on enhancing model reliability and output quality.

This post is going to take a first pass at creating Agents from scratch, using DSPy. The goal here is education, and to explore how one might build agents from scratch in DSPy.

This blog post provides a comprehensive introduction to DSPy, focusing on its use in handling large language models, offering a simple example of translating to 'Grug speak', and discussing the optimization of model performance.

This post will teach you the fundamental intuition behind RAG while providing a simple tutorial to help you get started. We'll cover how we can take out RAG app to the next level with similarity search.

In this post, we use Marvin AI to extract structured data from a podcast transcript.

In this post, we use the Instructor library to extract structured data from a podcast transcript.

In this post, we use Marvin AI to extract structured data from a podcast transcript.

This post is going to teach you how to build a retrieval augmented generation (RAG) based chatbot on top of a podcast episode.

This post will teach you the fundamental intuition behind RAG while providing a simple tutorial to help you get started.