http://ln.ht/_/images/favicon-4c526c32c48400028d7739cac47cd2a3.svg?vsn=dhttp://ln.ht/_/feed/llmsBookmarks tagged with: llms2026-07-24T14:04:08.989994Ztmfnkhttps://ln.ht/~tmfnk<p>
OpenMed 1.7.0 brings multimodal de-identification, OCR, FHIR and HL7 helpers, signed audit evidence, Transformers.js browser export, 1,000 open-source healthcare LLM models, and Swift-native OpenMedKit.</p>
https://openmed.life/#OpenMed — Clinical AI that never leaves the device2026-07-08T12:36:51Zpatuxhttps://ln.ht/~patux<p>
a walkthrough of how LLMs work</p>
https://www.0xkato.xyz/how-llms-actually-work/How LLMs Actually Work | 0xkato2026-06-06T16:20:05Ztobharhttps://ln.ht/~tobharhttps://www.ibm.com/think/machine-learningThe 2026 Guide to Machine Learning2026-05-24T05:31:57Zthrelkhttps://ln.ht/~threlkhttps://www.ibm.com/think/machine-learningThe 2026 Guide to Machine Learning2026-05-23T16:18:30Ztvonwolfehttps://ln.ht/~tvonwolfehttps://huronbikes.mataroa.blog/blog/i-am-not-a-software-engineer/I am not a Software Engineer — huronbikes2026-05-19T21:12:39Zthrelkhttps://ln.ht/~threlk<blockquote>
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The process for fine-tuning LLMs Locally without third-party APIs and platform fees. Before starting to fine-tune a model, make sure you actually need to! Fine-tuning LLMs can be a lengthy process and computationally expensive. It is a good idea to test the model’s performance on your task-specific data and try other less-demanding methods such as In-Context-Learning (ICL). It is also a good practice to fine-tune with smaller batches of data and record the improvement (i.e., output accuracy and validation loss) at each step, before increasing the number of training data examples. </p>
</blockquote>
https://github.com/Maryam-Nasseri/Fine-tuning-LLMs-LocallyMaryam-Nasseri / Fine-tuning-LLMs-Locally2026-05-16T20:35:20Zmlbhttps://ln.ht/~mlbhttps://galsapir.github.io/sparse-thoughts/2026/04/11/map-and-territory/maps, territory and LMs2026-04-11T16:27:51Ztvonwolfehttps://ln.ht/~tvonwolfehttps://blogs.gentoo.org/mgorny/2026/04/05/the-pinnacle-of-enshittification-or-large-language-models/The pinnacle of enshittification, or Large Language Models2026-04-07T16:00:49Ztvonwolfehttps://ln.ht/~tvonwolfehttps://www.scottsmitelli.com/articles/you-dont-have-to/You don't have to if you don't want to.2026-03-03T01:41:02Ztmfnkhttps://ln.ht/~tmfnk<p>
Interactive AI timeline tracking 194 Large Language Models from 2017 to 2026. Explore the history of ChatGPT, GPT-4, Claude, Gemini, LLaMA, Mistral, DeepSeek and every major LLM ever released.</p>
https://llm-timeline.com/AI Timeline — Complete History of 194+ Large Language Models (2017–2026)2026-02-24T10:23:38Ztmfnkhttps://ln.ht/~tmfnk<p>
This weblog features the work of developer Simon Willison, primarily focusing on the latest developments in AI, large language models (LLMs), prompt injection vulnerabilities, coding agents, and related software and security topics.</p>
https://simonwillison.net/Simon Willison’s Weblog2025-10-24T12:53:14Ztmfnkhttps://ln.ht/~tmfnk<p>
AINews is a daily newsletter and archive by smol.ai that summarizes the top discussions and developments from major AI communities (Discord, Reddit, X/Twitter) to help engineers and enthusiasts keep up with the latest in AI models, agents, infrastructure, and research.</p>
https://news.smol.ai/AINews | AINews2025-10-24T11:22:18Zhfbhttps://ln.ht/~hfbhttps://pluralistic.net/2025/09/24/robo-lickspittle/Pluralistic: The billionaires aren't OK (24 Sep 2025)2025-09-26T01:56:50Zunseeinghttps://ln.ht/~unseeing<p>
Extracting structured text from GI Bill index cards for JDoc 2023 paper - ICPSR/gi-bill</p>
https://github.com/ICPSR/gi-billGitHub - ICPSR/gi-bill: Extracting structured text from GI Bill index cards for JDoc 2023 paper2025-07-03T03:58:00Zlinkravenhttps://ln.ht/~linkraven<p>
Really heartfelt piece that cuts through the noise imo. It deals with it quite fairly.</p>
https://xeiaso.net/blog/2025/rolling-ladder-behind-us/Rolling the ladder up behind us2025-06-21T04:38:38Z