由AI新創Hugging Face主導並協調的 BigScience專案於本週公佈了成果 ，釋出具備1,760億個參數的大型語言模型BLOOM （BigScience Large Open-science Open-access Multilingual Language Model），其規模大過OpenAI GPT-3的1,750億個參數， 而且開放各界下載與存取 。
BigScience專案是在去年5月
Intel has released the first set of open source AI reference kits specifically designed to make AI more accessible to organizations in on-prem, cloud and edge environments. First introduced at Intel Vision, the reference kits include AI model code, end-to-end machine learning pipeline instructions, libraries and Intel oneAPI components for cross-architecture performance. These kits enable data scientists and developers to learn how to deploy AI faster and more easily across healthcare, manufacturing, retail and other industries with higher accuracy, better performance and lower
Meta昨（6）日宣佈 完成開發能翻譯200種語言的機器翻譯單一AI模型NLLB 200，同時將把該模型及訓練用的資料集一同開源出來。
Meta為實現元宇宙跨語言互動而開發的高品質機器翻譯系統NLLB（No Language Left Behind），該公司宣稱，最新完
俄羅斯最大網路公司Yandex週四（6/23）開源了具備1,000億個參數的YaLM 100B語言模型，宣稱這是全球最大的類生成型已訓練變換模型（Generative Pre-trained Transformer，GPT）的神經網路。
嚴格説來YaLM 100B並不是最大的開源語言模型，
近日，世界知名加速器晶片公司 Cerebras 宣佈，他們已利用「巨型晶片」為 AI 訓練踏上了重要的一步，訓練出了單晶片最大的 NLP (自然語言處理) AI 模型，而這個模型具有 20 億個參數。
這塊全世界最大的加速器晶片採用 7nm 製程，由
MOSCOW, June 23 (Reuters) - Russian technology company Yandex (YNDX.O) said on Thursday it had made a large language model for artificial intelligence research open to the public, hoping to spawn faster and deeper development of certain AI technologies.
Large language models, which have become a key trend in AI, are powerful programs that can generate paragraphs of text and mimic human conversation.
Yandex, like many Russian
Stemming from a recent reader request around seeing some fresh OpenJDK performance benchmarks, here are benchmarks of OpenJDK 9 through OpenJDK 18 plus the early access OpenJDK 19 builds. Additionally, OpenJ9 and GraalVM CE were tossed in as alternative implementations.
For satisfying this reader request an Intel Core i5 12600K with Ubuntu 22.04 LTS was used for this round of Java JVM benchmarks. All of the OpenJDK builds tested were obtained from the official OpenJDK binaries and using the latest releases at
Cerebras Systems, the pioneer in high performance artificial intelligence (AI) computing, today announced, for the first time ever, the ability to train models with up to 20 billion parameters on a single CS-2 system - a feat not possible on any other single device. By enabling a single CS-2 to train these models, Cerebras reduces the system engineering time necessary to run large natural language processing (NLP) models from months to minutes. It also eliminates one of the most painful aspects of NLP—
