Despite their impressive capabilities in generating content, large language models (LLMs) are not so great at designing hardware. Believing this weakness is due to a lack of hardware design data to train the models, Nvidia, Georgia Institute of Technology, and others have organized a contest to help create the needed open-source public dataset.
Nvidia’s director of design automation research, Haoxing (Mark) Ren, recently announced the collaboration on X (formerly known as Twitter). Ren said the
蘋果本週 公開展示 具備文字、聲音、圖像理解能力的多模態AI模型訓練框架4M，及支援21種模態資料的多模態模型。
4M模型框架全名為極多模態掩碼模型（Massively Multimodal Masked Modeling），為蘋果與瑞士洛桑聯邦理工學院（EPFL）合作開發。研
OpenAI made a surprise announcement to its Chinese users that it will leave the market next week, July 9, 2024. Although this move will negatively impact companies relying on access to OpenAI's API for their products, it will also drive innovation and development in local AI models. DigiTimes Asia reported that local tech companies like Tencent, Baidu, and Alibaba are already moving into the market, offering "migration" plans and discounts to affected users.
Another large language model (
機器學習模型與資料集共享平台 Hugging Face上週公佈 第二屆的開源大型語言模型（LLM）排行榜，表現最佳的是由阿里巴巴所釋出的Qwen 2，且在前十名的LLM中，就有5個來自中國。
Hugging Face主要使用六大測試基準，包括大規模的多工語言理解
Meta週四（6/27） 發表了LLM Compiler ，此為奠基於程式碼生成模型 Code Llama 的新模型，額外強化了對編譯器中介語言（IR）、組合語言及最佳化技術的理解，可用來改善所生成的程式碼品質， 目前已可透過Hugging face取得 。
Meta表示 ，LLM Compiler模型能
Hugging Face has released its second LLM leaderboard to rank the best language models it has tested. The new leaderboard seeks to be a more challenging uniform standard for testing open large language model (LLM) performance across a variety of tasks. Alibaba's Qwen models appear dominant in the leaderboard's inaugural rankings, taking three spots in the top ten.
Pumped to announce the brand new open LLM leaderboard. We burned 300 H100 to re-run new evaluations like
Cutting corners: Researchers from the University of California, Santa Cruz, have devised a way to run a billion-parameter-scale large language model using just 13 watts of power – about as much as a modern LED light bulb. For comparison, a data center-grade GPU used for LLM tasks requires around 700 watts.
AI up to this point has largely been a race to be first, with