Machine Learning

大语言模型LLM之文本数据处理 Text Data Processing for Large Language Models (LLMs)

2024-12-22 15:30:00

有了LLM的基础之后，若要实现自己的LLM，首先需要对文本进行一定处理，将其转成计算机能理解的嵌入向量数据 After understanding the fundamentals of LLMs, if you want to build your own LLM, the first step is to process the text data and convert it into embedding vector data that can be understood by computers.

大语言模型LLM概念入门理解 An Introductory Understanding of the Concept of Large Language Models (LLMs)

2024-12-15 18:00:00

最近开始学习大语言模型LLM，本节介绍LLM和Transformer的概念、基本构建原理，以及搭建LLM的步骤 I recently started learning about large language models (LLMs). This section introduces the concepts of LLMs and Transformers, the basic principles of their construction, and the steps to build an LLM.

打造专属GPT知识库机器人 Building a Custom GPT Knowledge Base Bot

2024-10-22 17:00:00

构建了一个基于embedding方案构建的知识库机器人，能根据问题和知识库相关内容组织语言进行问题回答 A knowledge base bot has been built using an embedding-based solution, which can organize language to answer questions based on the query and the relevant content from the knowledge base.

机器学习研究总结 Summary of Machine Learning Study

2024-10-13 15:00:00

在研究了一段时间的机器学习核心理论与实战后，总结一下学到的核心思想与实践方法 After spending some time learning the core theories and practical applications of machine learning, I’ve summarized the key concepts and practical methods I’ve learned.

递归神经网络原理 Principle of Recurrent Neural Networks (RNN)

2024-10-04 16:00:00

介绍递归神经网络的原理、词向量原理和一个相关的影评情感分析的实际应用示例 Introduction to the principles of Recurrent Neural Networks (RNNs), word embeddings, and a practical example of sentiment analysis on movie reviews.

卷积神经网络原理 Principles of Convolutional Neural Network (CNN)

2024-10-02 18:00:00

介绍卷积神经网络的原理、计算方法、相关参数和经典架构，以及一个图片分类的TensorFlow代码示例 An introduction to the principles of convolutional neural networks, their calculation methods, related parameters, and classic architectures, along with an image classification TensorFlow code example.