Homework 1: Introduction

Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Homework 2: Open-Source LLMs

Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Homework 3: Vector Search

Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://medium.com/@mickey.lubs/semantic-search-with-vector-embeddings-using-elasticsearch-6a47119fac92

Homework 4: Evaluation and monitoring

Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://github.com/google-research/google-research/tree/master/rouge
• https://huggingface.co/spaces/evaluate-metric/rouge

Homework 5: Ingestion pipeline

Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Project attempt 2

Project score: 16 Passed

Score: 26 = 16 (project) + 9 (peer review) + 1 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project

Learning in public links: Show

• https://help.openai.com/en/articles/8868588-retrieval-augmented-generation-rag-and-semantic-search-for-gpts