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CTX — Context Transfer Format
🦊
Convert web pages to LLM-optimized CTX — 90% fewer tokens
AI & ML interests
Infra, Inference, local llm, open source, awq, reap, coding, benchmarks, throughput, research, development, community
Organization Card
Fox Valley AI Foundation
Community AI education nonprofit based in Oshkosh, Wisconsin.
We believe powerful AI shouldn't require a data center. Our work focuses on making local LLM inference practical, efficient, and accessible to everyone.
What We Do
Research — Open-source work on inference optimization, model compression (REAP, AWQ), KV cache strategies, and multi-GPU serving on consumer hardware.
Education — Community workshops, meetups, and resources helping people in the Fox Valley region understand and use AI tools.
Open Source — Everything we build ships public. If it helped us, it should help you.
Projects
- CTX (Context Transfer Format) — An LLM-optimized interchange format achieving ~87-89% token reduction vs. raw HTML
- Domain-specific fine-tuning research on consumer GPU clusters
- Local inference benchmarking and deployment guides
Links
- 🌐 foxfoundation.ai
- 🐦 @NicW_AI
- 💻 GitHub
Founded by Nic Wienandt, serial entrepreneur and builder of wAIve.online.
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