Getting started with DSPy: A beginners guide to RAG

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: github.com/sta...
RAG in 4 lines of code video - • Build a RAG system in ...
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[@DreamsAPI]

Tried uploading my training data in json but it is not supported.

[@theworldsai]

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