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Earlier sources: Language models

Language models learn patterns in text and other representations to predict or generate sequences. Follow model releases, training methods, reasoning, evaluation, and deployment research; a benchmark result is specific to its test conditions.

SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.

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450 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.

Earlier sources

Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.

  1. GitHub · Repository created · First archived

    ihubanov/hunch ↗

    Calibrated yes/no, pick-one and scale judgments from your own LLMs, on text and images, read straight off the logprobs. Runs on vLLM.

  2. GitHub · Repository created · First archived

    AkashPriyadarshii/jev-curate ↗

    High-throughput synthetic and pretraining dataset sifter for TypeSafe Jev. Rust streaming core, Parquet and JSONL I/O, typed Choice/Score/Noul judgments, speculative fan-out, 24.0 rows/sec measured.

  3. GitHub · Repository created · First archived

    ikermoel/open-alternative-jev ↗

    Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with honest benchmarks

  4. GitHub · Repository created · First archived

    yibie/awesome-jev ↗

    A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.

  5. GitHub · Repository created · First archived

    TypeLLM/TypeLLM ↗

    TypeLLM: LLMs with type-safe generation

  6. GitHub · Repository created · First archived

    bnsd55/jevmlx ↗

    Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.

  7. GitHub · Repository created · First archived

    liyupi/ai-model-world ↗

    AI 大模型世界,把 556 个大模型拟人化成像素小人的可视化站点。进来就能看到此刻谁最聪明、谁最会写代码、谁最便宜、谁刚发布,往下是国内与国外分区的厂商广场、完整的发布时间线和多维排行榜。搜索认模型名、厂商和能力,输入「多模态」会直接列出全部多模态模型。数据取自 Epoch AI、models.dev、LiveBench 与 Hugging Face,每小时自动同步,所有文案由真实数据生成,不调用任何 LLM。Next.js 静态导出,零后端。

Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.

How to assess evidence about Language models

Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.

See the collection and counting methodology ↗ · Read the weekly synthesis ↗

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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.