The rise of open source large language models
The rise of open source large language models launched on April 13, 2023 with 5 votes, #2,314 of 4,853 launches that month and more than 50% of that year's launches. The site was not reachable when checked in September 2026.
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No Language Left Behind by Meta2022 · github.com · ▲116An open-source language translation system for 200 languages
- LILanguageModels.io2018 · languagemodels.io · ▲9
Explore large language models with 512MB of RAM2023 · github.com · ▲138Explore large language models in 512MB of RAM. Contribute to jncraton/languagemodels development by creating an account on GitHub.
- LMLLaMArch – Minimal, Building Blocks for Large Language Models2024 · gpavanb1.github.io · ▲5
Fine-grained stylistic control of LLMs using model arithmetic2023 · github.com · ▲85We developed a new framework that enables flexible control of generated text in language models. By combining several models and/or system prompts in one mathematical formula, it lets you tweak your style and combine model outputs with ease. A handy tool for those working with LLMs, looking for more fine-grained control of stylistic output. More details in our paper: https://arxiv.org/abs/2311.14479. Feedback and potential applications are welcome.
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Launched alongside, April 2023
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- G4
Hi HN, Today we’re launching GPT-4 answers on Phind.com, a developer-focused search engine that uses generative AI to browse the web and answer technical questions, complete with code examples and detailed explanations. Unlike vanilla GPT-4, Phind feeds in relevant websites and technical documentation, reducing the model’s hallucination and keeping it up-to-date. To use it, simply enable the “Expert” toggle before doing a search. GPT-4 is making a night-and-day difference in terms of answer quality. For a question like “How can I RLHF a LLaMa model”, Phind in Expert mode delivers a…
AI · 2023 · phind.com
