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✨ Let's start building ✨

The notebooks in this repo are single-purpose and approachable. If you haven't used Python Notebooks before, start with im-new-here.

0-im-new-here

Python environment setup, installing dependencies, API keys, .env files

1-llm-calls

There are so many cool frameworks, low/no code tools paradigms, etc, out there. Before you jump to those it's helpful to understand what you can do with the basic api calls

2-rag

Retrieval augmented generation is an effective way to give an LLM specific context to incorporate into its response.

1: Titan Submarine Investigation

The United States National Trasportation Safety Board conducted a multi year investigation into the Titan Submarine implosion. The findings are detailed in a 79 page PDF. We extract the data, embed it, then get to do our own investigation!

2: Disimformation Nation

March 2021: Congress summoned Mark Zuckerberg, Jack Dorsey, and Sundar Pachai to investigate their respective platform's involvment in the polarization of the United States over the previous years. In just a few minutes we will take this 244 page transcript and make it into a knowledgebase we can use to see how these guys were defending their decisions!

3: Wikipedia trends

We see how we can summarize and make sense of wikipedia trending data found within CSVs I created through my Wikipedia Chronicle project

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