Is Google Just Hype? Experts Explain Why Neural Networks Are Unsuitable for NLP

Is Google Just Hype? Experts Explain Why Neural Networks Are Unsuitable for NLP

Leifeng Network is Hiring! Join Leifeng Network to share the information dividend of the AI era and walk alongside the intelligent future. It is said that the experts have clicked here. In 2016, Google released a brand new neural machine translation system (GNMT) and claimed that due to the intervention of neural network algorithms, this … Read more

Research on Explainable Neural Network Algorithms for Talent Assessment

Research on Explainable Neural Network Algorithms for Talent Assessment

From Sun Ying’s doctoral dissertation at the Institute of Computing Technology, Chinese Academy of Sciences, selected for the preliminary evaluation list of the 2023 CCF Doctoral Dissertation Incentive Program! https://www.ccf.org.cn/Focus/2023-11-29/798503.shtml Talent refers to individuals with certain professional knowledge or specialized skills, who engage in creative labor and contribute to society. Under the strategy of strengthening … Read more

Evaluation of Sino-German Hongtai Deep Neural Network Algorithm – Deep Vision Portrait Recognition System

Evaluation of Sino-German Hongtai Deep Neural Network Algorithm - Deep Vision Portrait Recognition System

Brand New Portrait Recognition Technology The key to a successful portrait recognition system lies in having cutting-edge core algorithms that yield practical recognition rates and speeds. It integrates various specialized technologies such as artificial intelligence, machine learning, model theory, and video image processing. How to improve the algorithm so that the portrait recognition technology can … Read more

Guide to Large Model Training: Faith Brings Success

Guide to Large Model Training: Faith Brings Success

Source|YuanChuan Institute (ID: YuanChuanInstitution) Author|Chen Bin Editor|Dai Boss Cover Image|Movie “Blade Runner 2049″ Every large model is an expensive “money printer”, which has become a common knowledge among various AI observers. The training cost of large models has a simple ratio: the training cost is proportional to the square of the number of parameters. For … Read more

A Large Model: 2300 Days with Engineers

A Large Model: 2300 Days with Engineers

When sensors are combined with large models, they help you manage your phone, enhance the network, and provide smart recommendations… When you ask it, “Why is my phone so hot?” it doesn’t give a text answer, but instead helps you clear memory and optimize battery. In short, it will act like a real human assistant, … Read more

Large Models Are Not Just Pets of Tech Giants

Large Models Are Not Just Pets of Tech Giants

The competition among large models is intensifying, but many practitioners have increasing doubts about large models. In the field of foundational large models, several internet giants like Tencent, Alibaba, and Baidu have entered the fray, and companies like Alibaba, Baidu, and iFlytek have successively released the latest versions of their large model products in the … Read more

How Large Models Change Content Ecology

How Large Models Change Content Ecology

After the generational breakthrough of large language models, several search engines both domestically and internationally are trying to integrate them, and the changes brought to user experience are evident. For example, ChatGPT has already been integrated into search engines. Baidu Search also began internal testing of “AI Partner” in early May, where the AI automatically … Read more

How Competitive Is Large Model Training? Unraveling the Mystery of Large Model Computing Power

How Competitive Is Large Model Training? Unraveling the Mystery of Large Model Computing Power

Image Source @GPT Generated ▎The premise of competing for computing power is that computing power is becoming a new business model. The craze of “alchemy” for large models will pass, and computing power service providers need to prepare for the future and pivot in a timely manner. Author|Qin Conghui Editor|Gai Hongda This article was first … Read more

Interpretation of Technical Specifications for Large Model Inference Platforms

Interpretation of Technical Specifications for Large Model Inference Platforms

With the rapid development of large model technology, its application scope has widely penetrated various aspects of enterprise R&D applications, production, and management. Due to the large number of parameters in large models and their complex and diverse deployment scenarios and forms, higher requirements have been put forward for the deployment, inference, and service aspects … Read more

LLaMA Factory Fine-Tuning Guide

LLaMA Factory Fine-Tuning Guide

About LLaMA Factory In today’s rapidly advancing field of artificial intelligence, how to efficiently fine-tune and deploy large language models (LLMs) has become a hot topic in research and application. LLaMA Factory, as an open-source fine-tuning framework, has emerged in this context. It aims to provide developers with a simple and efficient tool to quickly … Read more