DSPy + Weaviate for the Next Generation of LLM Apps

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AI Summary

Summary: Building a Four-Layer DSy Program for Blog Post Generation

• Introduction
  • Erica introduces a demo on creating a blog post using a four-layer DSy program.
  • The program will take a query and generate a full blog post.
• Building the Program
  • The four layers are:
    1. Outline creation
    2. Topic to paragraph generation
    3. Proofreading for coherence
    4. Title creation
  • Optimization is done using the bootstrap few-shot compiler in DSy.
• Setting Up
  • The program uses the Wee Blogs platform and a vector database for background information.
  • DSP is configured and connected to the Wv8 client.
  • Different models, including GPT-4, can be chosen for the task.
• Defining Signatures
  • Each task is broken down into subtasks with defined signatures.
  • Signatures include:
    • Question to blog outline
    • Topic to paragraph
    • Proofreading
    • Title generation
• Program Initialization
  • Each signature is initialized with a Chain of Thought module.
  • The forward pass defines input processing, including retrieving relevant chunks and creating an outline.
• Testing the Program
  • A query is passed to the blog post writer, and the output is printed.
  • The program generates a title and paragraphs for the blog post.
  • A new question is tested to demonstrate versatility.
• Rating the Blogs
  • Another DSy program rates the blogs on a scale of 1 to 5.
  • The rating is based solely on the blog content without additional reasoning.
• Optimization
  • A train-test split is used to optimize and evaluate the program.
  • The bootstrap few-shot compiler improves the program by including input and output examples in the prompts.
• Final Evaluation
  • The compiled program is saved and loaded for future use.
  • The optimized program produces more fleshed-out blog posts.
  • The blogs are evaluated, showing improved ratings after optimization.
• Conclusion
  • Erica encourages viewers to connect via YouTube, X, LinkedIn, and GitHub.
  • The video concludes with thanks and an invitation to engage with the content.