Follow the official account “ML_NLP“ Set as “Starred“, heavy content delivered first! Introduction With the popularity of pre-trained models like BERT, ERNIE, and XLNet, it seems outdated to solve NLP problems without using pre-trained models.However, this is clearly incorrect. As we all know, both training and inference with pre-trained models consume a large amount of … Read more
Natural Language Processing (NLP) Library The Natural Language Processing (NLP) library is a set of software tools and programs for processing and analyzing human language.These libraries provide a range of features to help computers understand, interpret, and generate human language, enabling applications such as machine translation, sentiment analysis, text summarization, keyword extraction, and speech recognition. … Read more
Face recognition is ubiquitous in our lives, for example, in building access control systems, where it replaces traditional access cards or passwords, enhancing convenience and security. In terms of mall security, face recognition is widely used in monitoring systems, helping to identify and track potential criminals or missing persons, thus improving safety measures. Additionally, unlocking … Read more
Introduction When it comes to the most common AI application scenarios in daily life, speech synthesis and recognition are undoubtedly among the most familiar. From the announcements in map navigation, WeChat voice-to-text, mobile voice input, to the Baidu smart speaker, all rely on speech technology. How is speech technology achieved? What ready-made open-source code can … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and researchers from enterprises. The Community’s Vision is to promote communication and progress between the academic and industrial fields of natural language processing and machine learning, especially for the progress of beginners. Reprinted … Read more
Source: Deephub Imba This article is approximately 1400 words long and suggests a reading time of 5 minutes. Integrating ChatGPT and LLM into various applications is just part of the potential of using language models. The emergence of ChatGPT and LLM technology has swept the world with these state-of-the-art language models, prompting not only AI … Read more
About 3100 words, suggested reading time: 10 minutes This article will introduce several latest large models suitable for private deployment, and then guide you step-by-step to deploy them on computers and mobile phones. Large models are undoubtedly the protagonists of this AI revolution,large models are based on Scaling Law. Simply put, the more data, the … Read more
During the tuning process of the Llama 3 model, Chen Tianchu discovered that this open-source large model, supported by powerful computing power and high-quality massive data, indeed “opened a window for an open experience” for enterprises or individual users without sufficient computing power. Author: Qian Yujuan Cover Image: Tuchong Creative More than two weeks have … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and researchers in enterprises. The Community’s Vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | Weibo … Read more
Follow our WeChat public account to discover the beauty of CV technology This article is reprinted from Machine Heart. After an unexpected leak two days in advance, Llama 3.1 was officially released by Meta last night. Llama 3.1 has extended the context length to 128K, with three versions: 8B, 70B, and 405B, once again raising … Read more