Hi everyone, DSPy is a framework for solving advanced tasks using language models and retrieval models. DSPy offers the flexibility to algorithmically optimize language model prompts and weights.

Also, instead of using a prompt template or crafting a detailed prompt for an LLM, you can simply define your task and the metrics you want to maximize, and prepare a few example inputs. DSPy will then optimize your language model weights and instructions for you.

In this video, we will look at what DSPy is and how you can build a simple Retrieval Augmented System(RAG) system with Clarifai DSPy integration

Relevant links: 📌

Colab Notebook: https://github.com/stanfordnlp/dspy/b...

RAG in 4 lines of code video -    • Build a RAG system in 4 lines of code...  

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