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Ian Maurer

@imaurer.bsky.social
157 followers 227 following 45 posts

Fighting cancer with code. Interests: Bioinformatics, Genomics, LLMs, Python, Rust, NLP. imaurer.com github.com/imaurer

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Ian Maurer @imaurer.bsky.social · 08/04/2025
Proud to announce BioMCP, an open source Model Context Protocol (MCP) server for biomedical research AI assistants and agents. BioMCP searches and retrieves clinical trials, PubMed articles and genomic variants to provide up-to-date and relevant context to an LLM.
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Reposted by Ian Maurer
Ian Maurer @imaurer.bsky.social · 20/12/2024
Just everything else with AI, you can get good results with low effort. Then you can grind and keep eeking out gains. This has add’l benefits: - improvement on that task - greater vision of what else you can do - higher expectations on what good results are - better first drafts the next time.
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Ian Maurer @imaurer.bsky.social · 14/12/2024
Any research on the impact of JSON key sort order on generating structured outputs? For instance, I do something like this: - analyze - draft - evaluate - final And then provide exemplars with errors to show self correction. But I haven’t done extensive testing. Just seems like a good idea.
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Ian Maurer @imaurer.bsky.social · 08/12/2024
Chat with any open source repo easily. Gitingest (free online tool) turns any GitHub repository into a single markdown file for pasting. Claude artifacts makes this 300k token output pretty easy to work with.
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Ian Maurer @imaurer.bsky.social · 04/12/2024
Nice paper from Databricks Mosaic Research that analyzes RAG performance with long-context LLMs. Lots of great data and insights about the leading models and how their performance improves or degrades as more content is added to the context window. ArXiv Paper: arxiv.org/pdf/2411.03538
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Ian Maurer @imaurer.bsky.social · 22/11/2024
I'm tracking the language models, libraries, and resources for generating structured outputs (JSON) on GitHub (2K stars). PRs welcome! Repo: github.com/imaurer/awes...
Awesome LLM JSON List
This awesome list is dedicated to resources for using Large Language Models (LLMs) to generate JSON or other structured outputs.

Table of Contents
Terminology
Hosted Models
Local Models
Python Libraries
Blog Articles
Videos
Jupyter Notebooks
Leaderboards
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Ian Maurer @imaurer.bsky.social · 19/11/2024
GLiREL is a zero-shot Relation Extraction (RE) model capable of classifying unseen relations given the entities within a text. Builds upon GLiNER which does 0-shot Named Entity Recognition (NER). Repo: github.com/jackboyla/GL... Model: huggingface.co/jackboyla/gl... h/t @pacoid.bsky.social
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