Homework 1: Introduction

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

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Learning in public links: Show

• https://khoanta-ai.github.io/blog/2024/llm-zoomcamp-01-intro/
• https://www.linkedin.com/posts/khoa-nguyen-tho-anh-546621294_github-datatalksclubllm-zoomcamp-llm-activity-7210485624993198080-5YgZ?utm_source=share&utm_medium=member_desktop

Saturn Cloud

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

Homework 2: Open-Source LLMs

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

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Homework 3: Vector Search

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

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Homework 4: Evaluation and monitoring

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

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Homework 5: Ingestion pipeline

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

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Workshop: Open-Source Data Ingestion for RAGs with dlt

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

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