With the popularity of ChatGPT, more and more people are integrating it into their daily work, study, and life. Some use it for work reports, content creation, personal brand incubation, programming development, etc. Initially, everyone found this question-and-answer dialogue interesting; as long as you dare to ask, it can answer you. However, after using it … 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
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
MLNLP Community is a well-known machine learning and natural language processing community at home and abroad, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at home and abroad, … Read more
(Scan the QR code at the bottom of this page to learn more about the course) When it comes to Wenxin Yiyan, everyone is likely familiar with it. Developed by Baidu, Wenxin Yiyan is an advanced AI language model that can accurately continue the context, engage in smooth conversations, answer questions, or complete tasks based … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The community’s vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more