Dave Hillman
living long and perspiring...
Some things to think about...
Modern politics seems to be more about hating the other team than in moving the country forward.
If you don't understand how things work, then don't do it.
People often want things, more so if they don't have to work for them.
Work smarter, not harder!
It's always darkest before it goes pitch black.
Rules often seem to make good sense until you find that breaking them is not always as bad as once thought.
Located under the clear blue skys of North Carolina.
.jpeg)
Personal Projects...
< Localized LLMs (L3M) >
Localized Large Language Models (LLMs or L3Ms) are computational models that mimic how text is understood and used to simulate human intelligence.
Running LLMs on local machines means you're not subject to being connected all the time, have more privacy, and have the flexibility to change models as they improve.
Capabilities include responding to questions, categorization, document summarization, keyword (general, name, place) extraction, definition generator, sentiment analysis, outputting to JSON.
Current Focus: assessing resoning modalities for operational effectiveness.
Technologies used
- LLMs
- Python
- LLM Support Libraries
- Web Stack
.jpeg)
.jpeg)
< Enhanced Entity Attribute Value (EEAV) >
EEAV is a very flexible data model for capturing and exploiting data sets. It works by converting two-dimensional data tables into key-value sets.
Current Focus: evaluating the ability to track changes, over time, of data without significant increasing storage, i.e., track changes at a micro-level.
Technologies used
- Python
- Web Stack
- Postgres, SQLite
- JavaScript, HTML, CSS
- Tabulator (table viewer)
Current Software Projects
I'm currently building a set of tools that demonstrate capabilities that could standalone or operate as an integrated tool set.
Media Ingest: load and extract text from video, audio, PDF, office documents and text.
Parser: extract words and sentences from text input.
Processor: apply analytic processes via Large Language Models including categorization, summarization, extraction, and sentiment analysis.
Viewer: examine a complex JSON-based data structure.
Presentation: Present JSON-encoded data to tabular, charts (e.g., bar, line, circle), graphs (node/edge), and maps.
These tools are developed using Python, Flask, with a web-based front-end (HTML, CSS, and JavaScript/AJAX).
History of Computing Book Project...
My favorite class in college was "The History of Computing". I really enjoyed the narrative of how things came to be. So I'm writing a book about computing technology from 1950 to 2025.
The writing is pretty much finished, review and final editing is underway.
I've explored different technologies from programming languages through the Internet to quantum computing. Also covered some history focusing on technology and how we deal with information in 1950 v. 2025.
Goal is to finish this by June 2025 (on target).