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danielrosehill/README.md

Daniel's Github Homepage!

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Welcome to my homepage on Github!

If this isn't the most chaotic collection of repositories you've seen on Github this hour, then you get your money back.

I've spent most of my career to date working in tech communications and writing, but like the rest of humanity have succumbed to deep fascination with the potential of AI workflows & LLMs to hopefully change our world for the better.

My current job involves working in the nonprofit sector (impact investing) where I try to bring some creative and technical approaches to visualizing data with the objective of better telling the mission of our industry.

Among the scattered notes in this Github repository are a few core projects, or aspects of them, that I've been working at for some time.

Within the context of large language models, two threads are of particular interest to me at the moment:

The first is developing simple but effective workflows for generating, storing and using personal context repositories (my home-cooked jargon is "context repos"). I believe that RAG approaches (at a much more modest level of scale) can yield massive value for many different personal uses.

Another question that greatly interests me, and which I have been exploring through some open source projects, is the question of output management. I've devised some CRUD prototypes for storing and managing LLM outputs in a methodical way, relating them to prompt libraries and agent configurations in an integrated data store. The initial implementation was using Postgres; aspirational architectures I'm tinkering with use Mongodb and Neo4J.

Beyond the digital plumbing of backend routing and storage lies the much more significant question of how we can leverage this cogenerated data to better our lives. Like how to best leverage context for personal uses, this is another important aspect of the ongoing puzzle called "How can we leverage these great technologies To the maximal possible effect?"

While I love creating ridiculous pictures of sloths with DALLE as much as the next guy (okay, maybe a bit more), my real interests in this are how AI technologies can improve lives. My collection of LLM assistants is proudly sprawling. But to say that it scratches the surface of the potential use cases of these technologies is to put it too kindly. I believe these are great times for technology in the making and its fun to be part of the journey.

Note: I reorganised my repositories in November 2024 which - unfortunately - had the inadvertent effect of removing previous repo followers. If you starred or followed a repo previously and would like to keep updated, please do so again. I apologise for the inconvenience!

Personal Homepage Docs Homepage
Other Projects Repo Index

Thanks for stopping by!

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  1. Master-Index Master-Index Public

    This repository serves as a master index linking to the various indices I have for more narrow groupings of topics.

  2. Github-Repo-Index Github-Repo-Index Public

    An index to the Github profile of Daniel Rosehill. Repositories are organised by themes in the 'sections' folder.

    Python 2

  3. My-Docs-Index My-Docs-Index Public

    An index to my various documentation projects, both on Github and elsewhere

  4. Prompt-Library Prompt-Library Public template

    A repository of prompts I've used when working with LLMs as well as some example outputs and notes

    2

  5. Prompt-Engineering-Resources Prompt-Engineering-Resources Public

    Lists of resources and tools for prompt engineering and evaluation

    Python 1

  6. Custom-LLM-Agents Custom-LLM-Agents Public

    This repository contains configuration scripts for large language model assistants, which I have deployed mostly currently on Hugging Face Chat.

    Python 2