👋 Name: Jim Beno 📍 Location: Oakland, CA 💼 What You Do: UX Design in Cybersecurity, Studying AI/ML/NLP 🔥 Why I’m Here: Arize Phoenix was so helpful during a DSPy assignment for Stanford Online NLU course! 🌟 LinkedIn: https://www.linkedin.com/in/jimbeno/
Thanks Tammy! I created a DSPy pipeline for question answering:
Question ->
Determine type of ‘artifact’ to construct:
If related to time, focus on building a timeline of events
If not, focus on gathering facts to build an outline
Chain of Thought: Create search query ->
Retriever 1: Get relevant articles from ColBERTv2 as context ->
Chain of Thought: Create additional search query to fill in gaps ->
Retriever 2: Get relevant articles from You.com and add to context ->
Construct the artifact from the combined context ->
Answer the question from the created artifact
There was a bit of complexity here, so it was nice being able to explore the chain in Phoenix. Much more user friendly than lm.inspect !
