MLNLP community is a well-known machine learning and natural language processing community in China and abroad, targeting NLP graduate students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academia and industry of natural language processing and machine learning, especially for the advancement of beginners. Reprinted … Read more
MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and researchers in enterprises. The vision of the community is to promote communication between the academic and industrial sectors of natural language processing and machine learning, as … Read more
AI is an excavator for knowledge workers, significantly enhancing teaching and research productivity. Below is an article by Teacher Wang Jue on AI teaching skills, feel free to check it out: ———————————————— When controlling large models to complete general tasks, you only need to give instructions in natural language. For example, in Kimi, we can … Read more
NLP Paradigm Evolution Fully Supervised Learning (Non-neural Network): Trains a specific task model only on the input-output sample dataset for the target task, heavily relying on feature engineering. Fully Supervised Learning (Neural Network): Combines feature learning with model training, shifting the research focus to architecture engineering, which designs a network architecture (like CNN, RNN, Transformer) … Read more
In Selenium, automated testing often encounters various dialogs: alert, confirm, and prompt. These are common scenarios in business applications. Therefore, when learning the Playwright framework, these situations are also inevitable. Today, I will share how to handle these three types of dialogs in the Playwright framework. First, let’s understand the differences between these three types … Read more
Follow the public account “ML_NLP“ Set as “Starred” to receive valuable content promptly! Reprinted from | Smarter Recently, a new paradigm of Prompt has been proposed in the NLP field, aiming to revolutionize the original Fine-tuning method. In the CV field, Prompt can actually be understood as the design of image labels. From this perspective, … Read more
The Explosion of Technology, Large Models Lead the Way Generative AI is changing our world with astonishing momentum, sweeping through various industries and fields globally, disrupting many people’s work and life paradigms.After PGC and UGC, AIGC has become a hot content production model.As long as you have ideas and the passion to create, large models … Read more
In the first three articles of this series, we introduced the concept of large language models (link), training methods (link), and core capabilities (link). However, using GPT effectively is still not a simple task. The key to mastering AIGC lies in writing effective prompts. Prompt: Refers to a segment of text input provided to the … Read more
In large language models, a “prompt” refers to the input text provided to the model to instruct or guide it to produce specific outputs. Its main function is to inform the model about what kind of information the user wants to obtain or what kind of task they want to complete. For example, when using … Read more
Based on clinical research progress Keeping up with academic literature reports Inviting authoritative experts for interpretation “China Medical Forum” collaborates with “Baiyi Medical Department“ Monthly selection, classic every issue Sincerely invite attention to “Frontline of Immunotherapy for Gastrointestinal Cancer!“ Reviewing Experts Professor Xu Tongpeng MD, Associate Chief Physician of Oncology at Jiangsu Provincial People’s Hospital, … Read more