Add llm.md for Large Language Models project

pages/projects/llm.md

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+---
+permalink: /projects/llm.html
+layout: project
+title: Large Language Models As Assistants
+shortname: llm
+pagetype: project
+image: logos/particle-llm.png
+logowidth: 30%
+blurb: Umbrella project gathering institute efforts using LLMs as assistants.
+maturity: Development
+maturity-note:
+focus-area: as
+start-date: 2025-01-01
+team:
+ - gordonwatts
+ - davidlange6
+ - pelmer
+ - rrutaa
+---
+
+This is an umbrella project to collect the experimental acitivites going on in the institute around using large language models to help particle
+physicists work. This includes coding, attending conferences, reading and comprehending papers, et.c
+
+* [`hep-data-llm`](https://github.com/gordonwatts/hep-data-llm) a plot agent that experiments with taking the [`adl-benchmark-index`](https://github.com/iris-hep/adl-benchmarks-index)
+  questions and hint files so that a LLM will generate and run the code. Complete with
+  fairly complete evaluation metrics and ~20 open source and commercial models tested. Preceded by the [`atlas-plot-agent`](https://github.com/gordonwatts/atlas-plot-agent) project.
+* [cmspiolot](https://github.com/rrutaa/cmspilot) a plot agent that uses RAG techniques to target very small LLM's. Fellow Project
+* [azure-light-rag](https://github.com/gordonwatts/azure-light-rag) RAG designed to work with very large corpuses of text (e.g. all the European Union stratigic update, or Snowmass documents). Uses RAG techniques plus entity extraction.
+  Shows all the various problems that traditional RAG shows when working with very large amounts of data. Designed to run in the cloud, and be invoked as a tool from OpenAI's chat-gpt tool.
+* [abstract-rankder](https://github.com/gordonwatts/abstract-ranker) - given a list of the users preferences will rank abstracts submitted to a conference and generate a spreadsheet
+  can be used to navigate a large confernece like ICHEP or CHEP.