Mitchell's Log

A working notebook for software projects, experiments, and things worth writing down.

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Showing 8 of 8 posts.

  1. Writing Experiment Rerun: gemma3:1b at 82.0% Fair+Good

    Updated gemma3:1b writing experiment with 100 outputs, 82.0% fair+good, case-level usability rates, and the full rerun quality rubric.

    realm writing experiments slm gemma3-1b evaluation

  2. Writing Experiment: gemma3:1b vs qwen3:1.7b Quality Mix

    Head-to-head writing quality distribution with stacked percentage columns and request-compliance summary.

    realm writing experiments slm gemma3-1b qwen3-1-7b evaluation

  3. Paper Notes: Narrative Reversals for Voice-Stable Context Retrieval

    Notes on narrative reversals, plus a design for reversal-aware segmentation and retrieval that is optimized for maintaining voice and pacing during drafting.

    paper-notes narrative storytelling context-compiler retrieval realm writing segmentation

  4. REALM Combined Loop: Multi-Size Results Toward Context Compiler

    Combined Read + Edit/Analyze experiment showing strong multi-size token behavior for the context compiler path.

    realm ctxc context-compiler slm gemma3-1b local-inference experiments ai

  5. Context Compiling: ctxc and vectorless builds

    I’m building a ‘context compiler’ that walks large docs like a book and emits a tight, testable context packet—without embeddings—so even tiny models can rel...

    context ctxc realm rag compilers writing

  6. REALM Continuation: Local SLM Evaluation with gemma3:1b

    Continuation experiment evaluating gemma3:1b as a local SLM for REALM context curation.

    realm slm gemma3-1b local-inference experiments ai context-curation

  7. Context Curation: Preliminary REALM Tests

    First experiment write-up validating baseline navigation behavior and context scaling.

    realm experiments context-curation ai

  8. REALM: Read Edit/Analyze Loop Monitor

    A modular architecture that curates context from large documents at low cost, with a path to small on-device models.

    realm architecture context-curation local-first ai