Introduction The concept of deep learning originates from the study of artificial neural networks. A multi-layer perceptron with multiple hidden layers is a type of deep learning structure. Deep learning combines low-level features to form more abstract high-level representations of attribute categories or features, in order to discover distributed feature representations of data. The concept … Read more
Please click “Yueying Technology“, “Brain Talk“, and choose to follow us.Yueying Technology focuses on online/offline training and data processing services for technologies such as EEG/ERP, fMRI, sMRI, DTI, fNIRS, and machine learning, hoping that professional services can provide support and help to peers. In addition, we have establisheda WeChat group and QQ group for neuroscience … Read more
Please click “Yueying Technology“, “Brain Talk“, and choose to follow us.Yueying Technology focuses on online/offline training and data processing services for technologies such as EEG/ERP, fMRI, sMRI, DTI, fNIRS, and machine learning, hoping that professional services can provide support and help to colleagues. In addition, we have establisheda WeChat group and QQ group for neuroscience … Read more
Follow the public account 【Industry Report Think Tank】 for more exciting content 01 Abstract In 2024, artificial intelligence (AI) is no longer a futuristic technology from science fiction movies but has deeply integrated into all aspects of our lives. From customer service to healthcare, from creative production to cybersecurity, AI is sparking a revolution globally. … Read more
From Questioner to Architect: The Evolution of Prompt Engineers in the AI Era Introduction: The Paradigm Shift in AI Interaction “o1 is not a chat model (this is the key point)”, Ben Hylak and swyx & Alessio pointed out in an article published on January 12, 2025 (https://www.latent.space/p/o1-skill-issue[1]) that there is a profound transformation occurring … Read more
In recent years, the demand for artificial intelligence (AI) software has significantly increased among organizations of all sizes, as they seek to leverage AI to remain competitive. This article details a range of AI software and related services, such as generative AI, machine learning, natural language processing, computer vision, and deep learning, aimed at solving … Read more
Hello! I am your old friend Amanda. Long time no see! On December 20, 2024, Anthropic published an article about how to build effective agents. Original link: https://www.anthropic.com/research/building-effective-agents The article mainly discusses the experiences and practical advice for building Large Language Model (LLM) Agents across different industries. It emphasizes that successful implementations typically adopt simple, … Read more
Edited by Machine Heart Contributors: Siyuan, Wang Shuting This month, Google’s BERT has received a lot of attention, as the research has refreshed the state-of-the-art performance records in 11 NLP tasks with its pre-trained model. The authors of the paper stated that they would release the code and pre-trained model by the end of this … Read more
Author: Gao Kaiyuan School: Shanghai Jiao Tong University Research Direction: Natural Language Processing Zhihu Column: BERT on the Shoulders of Giants Original Article Link: https://zhuanlan.zhihu.com/p/91052495 Introduction In the previous blog, I discussed some knowledge representation learning models. Today, let’s explore the current most popular BERT model and how it develops with the addition of external … Read more
In October 2018, the BERT model launched by Google made a stunning impact, sweeping various rankings and even surpassing human baseline scores, achieving a milestone breakthrough in the field of NLP. Today, for NLP algorithm engineers, BERT has become an essential tool. “What if there’s too little data?” — “Just fine-tune BERT!” “What if RNN … Read more