Technology peripherals
AI
Hehe Information joins hands with the School of Computer Science at Central South University to explore AI talent training issues
Hehe Information joins hands with the School of Computer Science at Central South University to explore AI talent training issues
Recently, Hehe Information was invited to Central South University to discuss school-enterprise cooperation models and artificial intelligence technology exchanges with experts from the School of Computer Science. Xia Jiazhi, deputy dean of the School of Computer Science of Central South University, Professor Gao Jianliang of the School of Computer Science, Distinguished Associate Professor Wu Wei, graduate tutor Kan Shichao, R&D Director of Hehe Information Intelligent Innovation Division Chang Yang, and Dr. Gu Xiaomeng, image algorithm expert of the Intelligent Platform Division, attended the closed-door discussion. will jointly discuss intelligent document processing and artificial intelligence image security research, as well as new trends in technological innovation, and further explore new models of school-enterprise cooperation
Kan Shichao shared technical topics related to multi-modal large models and pointed out that large model technology can help solve data processing problems. He believes that image dialogue data generation is an important research direction in related fields. It is necessary to generate multiple rounds of dialogue data based on input images and evaluate the generated data. By fine-tuning the generated multi-round dialogue data, the team improved the comprehensive ability of image question answering and description-related test indicators by up to 8.06%
Wu Wei shared his progress on the research topic "Similarity Calculation of Massive High-Dimensional Sparse Data". He pointed out that academia may pay more attention to accuracy, but in actual operations, if we can improve time efficiency and space efficiency while slightly reducing accuracy, this will have very practical application value. The key to the implementation and research of technology lies in the needs of application scenarios, which need to strike a balance between time, accuracy and space
Gao Jianliang explained the relevant achievements of Central South University in the field of automatic machine learning research. He said: "Considering the many choices of deep learning network models at present, we are committed to solving the difficulty of selecting a model suitable for the research task. We propose the research results of automatic machine learning to automatically match the most suitable network model by extracting specific task features and network levels, thereby reducing the time for debugging the model and improving research efficiency."
Xia Jiazhi introduced the teaching project of the Turing class of the School of Computer Science at Central South University from the perspective of cultivating artificial intelligence talents. He expressed the hope that enterprises and schools can cooperate, innovate training measures, achieve industry-university integration, and provide students with practical courses and classroom teaching so that they can have an in-depth understanding of the business and application development of actual enterprises
"Hehe Information has always attached great importance to technical exchanges and research implementation with universities. It not only maintains a long-term scientific research cooperation relationship with South China University of Technology, but also has in-depth project cooperation and technical research with many top domestic universities." Hehe Information Chang Yang, R&D Director of the Information Intelligence Innovation Division, said that he benefited a lot from being invited to Central South University for technical seminars and exchanges. The research topics of university teachers can be well combined with practical business applications. Hehe Information has always attached great importance to technical exchanges with universities and the practical application of research. We not only have long-term cooperation with South China University of Technology, but also carry out in-depth project cooperation and technical research with many top domestic universities. Chang Yang, R&D Director of Hehe Information Intelligent Innovation Division, said that he was invited to Central South University for technical seminars and exchanges and gained a lot. The research topics of college teachers can be well combined with practical business applications
Hehe Information is an artificial intelligence and big data technology company, focusing on the development and application of intelligent text recognition, image processing, natural language processing, knowledge graph and big data mining and other technologies. Our related products and solutions have been maturely used in nearly 30 industries such as finance, manufacturing, retail, and logistics, and have provided services to hundreds of millions of users in more than 100 countries and regions around the world. We firmly believe that talents are the core of technological development. In the future, Hehe Information will continue to cooperate with excellent colleges and universities to build a systematic training system to cultivate more innovative talents
Correspondent He He
The above is the detailed content of Hehe Information joins hands with the School of Computer Science at Central South University to explore AI talent training issues. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1386
52
Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions
Jun 28, 2024 am 03:51 AM
This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP
Context-augmented AI coding assistant using Rag and Sem-Rag
Jun 10, 2024 am 11:08 AM
Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application
Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations
Jun 11, 2024 pm 03:57 PM
Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it
Seven Cool GenAI & LLM Technical Interview Questions
Jun 07, 2024 am 10:06 AM
To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text
Five schools of machine learning you don't know about
Jun 05, 2024 pm 08:51 PM
Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing
To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework
Jul 25, 2024 am 06:42 AM
Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A
SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time
Jul 17, 2024 pm 06:37 PM
Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S
SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc.
Aug 01, 2024 pm 09:40 PM
According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year
