Selected from the HuggingFace blog Translated by: Zhao Yang This article will introduce the building blocks of MoE, training methods, and the trade-offs to consider when using them for inference. Mixture of Experts (MoE) is a commonly used technique in LLMs aimed at improving efficiency and accuracy. The way this method works is by breaking … Read more
21CTO Guide: AWS has launched a new privatized AIGC product. Background AWS has just announced a new artificial intelligence product, the preview feature of Amazon Bedrock. Bedrock is a solution for building generative AI applications using foundational models. Amazon Bedrock is an innovative technology within Amazon Web Services (AWS) that opens up cutting-edge technology in … Read more
Introduction to Amazon Bedrock Amazon Bedrock is an advanced generative artificial intelligence (AI) platform launched by Amazon Web Services (AWS) aimed at helping businesses easily build, train, and deploy large-scale generative AI models. By integrating various pre-trained language models, Amazon Bedrock provides users with flexible and scalable AI solutions that support natural language processing, text … Read more
Analyst Insights: The field of artificial intelligence is undergoing a transformative phase, characterized by the rapid development and deployment of large language models (LLMs) and foundation models (FMs). This evolution is largely influenced by massive cloud providers like Amazon Web Services, which not only launched advanced models like Anthropic’s Claude 3 but also optimized AI … Read more
New Insights from Cloud Tech Blogger A loud bang echoed in the sky! Anthropic’s latest advanced foundational model, Claude 3 Sonnet, has officially landed on Amazon Bedrock! Cloud Tech Blogger: Florida Little Li Brother (Li Shaoyi) has already hands-on experienced Claude 3 and compiled a detailed tutorial, come and take a look! There are also … Read more
Zheng Jiyang from Aofeisi QbitAI Report | WeChat Official Account QbitAI Recently, the Amazon Alexa team released a research achievement: researchers performed parameter selection on the BERT model, obtaining the optimal parameter subset of BERT—Bort. The research results indicate that Bort is only 16% the size of BERT-large, but its speed on CPU is 7.9 … Read more
Machine Heart Reprint Source: Xixiaoyao’s Cute Selling House Author: Sheryc_Wang Su There are two types of highly challenging engineering projects in this world: the first is to maximize something very ordinary, like expanding a language model to write poetry, prose, and code like GPT-3; while the other is exactly the opposite, to minimize something very … Read more
Machine Heart Report Contributors: Si Yuan, Qian Zhang The championship throne of XLNet has not yet warmed up, and the plot has once again taken a turn. Last month, XLNet comprehensively surpassed BERT on 20 tasks, creating a new record for NLP pre-training models and enjoyed a moment of glory. However, now, just a month … Read more
Selected from arXiv Authors: Chenguang Wang, Mu Li, Alexander J. Smola Compiled by Machine Heart Participation: Panda BERT and GPT-2 are currently the two most advanced models in the field of NLP, both adopting a Transformer-based architecture. A recent paper from Amazon Web Services proposed several new improvements to Transformers, including architectural enhancements, leveraging prior … Read more
This article is the first in a series produced by Big Data Digest and Baidu NLP. Baidu NLP is committed to the mission of “understanding language, possessing intelligence, and changing the world”. It conducts technical research and product applications in areas including natural language processing, machine learning, and data mining, leading the development of artificial … Read more