dots3-note Preview
dots3-note Preview is an open-weight multimodal model and large language model developed by dots studio, an AI team at Xiaohongshu.
Explore language models, how they work, and the techniques used to build applications with them.
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dots3-note Preview is an open-weight multimodal model and large language model developed by dots studio, an AI team at Xiaohongshu.
gpt-oss is a family of open-weight large language models released by OpenAI on August 5, 2025, and OpenAI's first open-weight language models since GPT-2 in 2019.
llama.cpp is an open-source large language model inference engine written in C and C++ by Bulgarian software engineer Georgi Gerganov that runs large language models on consumer-grade hardware without…
llms.txt is a proposed web standard that defines a small markdown file served at the root path /llms.txt of a website, containing a curated, LLM-friendly summary and a list of links to authoritative content…
mT5 (multilingual T5) is a transformer-based encoder-decoder language model released by Google Research in October 2020 that covers 101 languages in a single model, pre-trained on a Common Crawl corpus called…
OpenAI o4-mini is a compact reasoning model developed by OpenAI, released on April 16, 2025.
rsLoRA (rank-stabilized LoRA) is a one-line modification to the low-rank adaptation fine-tuning method for large neural networks.
vLLM is an open-source inference and serving engine for large language models. It is software for running already trained models, either through a Python interface for offline work or through a network server…