<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evaluations | Daniel Rosehill Blog</title><description>Benchmarks and evals — measuring models against real workloads.</description><link>https://blog.danielrosehill.com/topics/technology/ai/evaluations/</link><language>en-us</language><atom:link href="https://blog.danielrosehill.com/feeds/topics/technology/ai/evaluations.xml" rel="self" type="application/rss+xml"/><item><title>Can image models spell the labels? A first look at my Tech Graphics Benchmark</title><link>https://blog.danielrosehill.com/posts/tech-graphics-benchmark-image-models-exact-text-first-look-i1f860/</link><guid isPermaLink="true">https://blog.danielrosehill.com/posts/tech-graphics-benchmark-image-models-exact-text-first-look-i1f860/</guid><description>Limited evaluation: 95 images from five cheap image models, 12 annotated so far. In this run, 10 of 11 had every label spelled exactly; the problems were composition, stretching and style. Not a verdict on any model.</description><pubDate>Tue, 03 Nov 2026 12:00:00 GMT</pubDate><category>Technology</category><category>AI</category><category>Evaluations</category></item><item><title>Boxty v1.0: English dictation without the Hebrew</title><link>https://blog.danielrosehill.com/posts/boxty-v1-english-dictation-without-hebrew-mhsv9w/</link><guid isPermaLink="true">https://blog.danielrosehill.com/posts/boxty-v1-english-dictation-without-hebrew-mhsv9w/</guid><description>Boxty is the no-Hebrew sibling of my Jachnun code-switching model: Parakeet fine-tuned on my voice for plain English and tech dictation. Tech WER drops from 2.51% (stock) to 1.35%, and general English holds.</description><pubDate>Tue, 20 Oct 2026 18:00:00 GMT</pubDate><category>Technology</category><category>AI</category><category>Evaluations</category></item><item><title>Do LLMs push back on conspiracy believers? A small first look</title><link>https://blog.danielrosehill.com/posts/llm-conspiracy-endorsement-eval-first-look-she8dc/</link><guid isPermaLink="true">https://blog.danielrosehill.com/posts/llm-conspiracy-endorsement-eval-first-look-she8dc/</guid><description>A small, hand-graded first look at my conspiracy-endorsement eval: 7 prompts, 7 models, one sample each. In this run two uncensored models helped a believer and an invented theory tripped up two more. Not a verdict on any model.</description><pubDate>Tue, 20 Oct 2026 12:00:00 GMT</pubDate><category>Technology</category><category>AI</category><category>Evaluations</category></item><item><title>Whisper Hebrish Small ACFT: a code-switching model for FUTO Keyboard</title><link>https://blog.danielrosehill.com/posts/update-whisper-hebrish-small-acft-futo/</link><guid isPermaLink="true">https://blog.danielrosehill.com/posts/update-whisper-hebrish-small-acft-futo/</guid><description>A phone-sized Whisper Hebrish for FUTO Keyboard on Android. It halves the stock English model&apos;s error rate on English-with-Hebrew dictation (11.8% to 5.8% WER) and imports as a single 264 MB file.</description><pubDate>Sat, 17 Oct 2026 16:00:00 GMT</pubDate><category>Technology</category><category>AI</category><category>Evaluations</category></item><item><title>Whisper Hebrish v2 Released</title><link>https://blog.danielrosehill.com/posts/update-whisper-hebrish-v2-released/</link><guid isPermaLink="true">https://blog.danielrosehill.com/posts/update-whisper-hebrish-v2-released/</guid><description>Version 2 of Whisper Hebrish, my Whisper fine-tune for English with Hebrew words mixed in. Code-switching WER drops from 14.7% (stock turbo) to 6.7%, and there are whisper.cpp builds.</description><pubDate>Sat, 17 Oct 2026 14:30:00 GMT</pubDate><category>Technology</category><category>AI</category><category>Evaluations</category></item><item><title>inventory-spec-extractor: a 34 MB model for reading product spec lines</title><link>https://blog.danielrosehill.com/posts/update-inventory-spec-extractor/</link><guid isPermaLink="true">https://blog.danielrosehill.com/posts/update-inventory-spec-extractor/</guid><description>A small token-classification model that pulls voltages, connectors, materials and 22 other attributes out of one line of a product spec. Runs on CPU in about 20 ms per line. F1 0.85 against a regex baseline&apos;s 0.58.</description><pubDate>Thu, 15 Oct 2026 18:00:00 GMT</pubDate><category>Technology</category><category>AI</category><category>Evaluations</category></item><item><title>Can speech-to-text spell ‘makolet’? I tested seven models on Hebrish</title><link>https://blog.danielrosehill.com/posts/english-hebrew-code-switching-asr-benchmark/</link><guid isPermaLink="true">https://blog.danielrosehill.com/posts/english-hebrew-code-switching-asr-benchmark/</guid><description>English speakers in Israel talk Hebrish, and dictation software mangles the Hebrew words. I built an open benchmark to measure it: my fine-tune gets two-thirds of them right, off-the-shelf models a third to under half.</description><pubDate>Thu, 15 Oct 2026 15:00:00 GMT</pubDate><category>Technology</category><category>AI</category><category>Evaluations</category></item><item><title>How much bitrate does an audio-multimodal LLM actually need?</title><link>https://blog.danielrosehill.com/posts/audio-multimodal-llm-bitrate-eval/</link><guid isPermaLink="true">https://blog.danielrosehill.com/posts/audio-multimodal-llm-bitrate-eval/</guid><description>An eval across 12 audio-capable models on OpenRouter, 5 MP3 bitrates, 4 dictation samples. The default upload quality in most dictation apps is 2–4× overprovisioned — and the more interesting finding had nothing to do with bitrate.</description><pubDate>Fri, 17 Apr 2026 12:00:00 GMT</pubDate><category>Technology</category><category>AI</category><category>Evaluations</category></item><item><title>Bias and censorship evaluation tests for large language models</title><link>https://blog.danielrosehill.com/posts/bias-censorship-eval-tests-llms/</link><guid isPermaLink="true">https://blog.danielrosehill.com/posts/bias-censorship-eval-tests-llms/</guid><description>Test prompts and notes exploring cultural bias, censorship, and worldview differences across Western and Eastern large language models.</description><pubDate>Wed, 25 Mar 2026 21:00:00 GMT</pubDate><category>Technology</category><category>AI</category><category>Evaluations</category></item></channel></rss>