Course Intermediate  11467

Course Introduction："Self-study IT Network Linux Load Balancing Video Tutorial" mainly implements Linux load balancing by performing script operations on web, lvs and Linux under nagin.

Course Advanced  17749

Course Introduction："Shangxuetang MySQL Video Tutorial" introduces you to the process from installing to using the MySQL database, and introduces the specific operations of each link in detail.

Course Advanced  11450

Course Introduction："Brothers Band Front-end Example Display Video Tutorial" introduces examples of HTML5 and CSS3 technologies to everyone, so that everyone can become more proficient in using HTML5 and CSS3.

Course Introduction：Ant Manor March 12th question: Celery stems naturally have a slight salty taste. Which element is high in them? Many friends don’t know which element is high in the naturally light salty taste of celery stems. So below, the editor will bring you the answer to Ant Manor’s daily question on March 12. If you are interested, come and find out. Bar. Summary of Ant Manor’s answers today Ant Manor March 12: Celery stems naturally have a light salty taste. Which element is high in them? Question: Celery stems naturally have a slight salty taste. Which element is high in them? Answer: Sodium Answer analysis: 1. Strictly speaking, celery is not a green leaf of a vegetable, it is mainly a young stem; 2. Eating celery regularly, especially celery leaves, is very beneficial to preventing high blood pressure, arteriosclerosis, etc.; 3. In addition, because

2024-03-11 comment 0  895

Course Introduction：The problem of named entity recognition in natural language processing technology requires specific code examples. Introduction: In the field of natural language processing (NLP), named entity recognition (NamedEntityRecognition, referred to as NER) is a core task. It aims to identify specific categories of named entities from text, such as person names, place names, organization names, etc. NER technology is widely used in information extraction, question answering systems, machine translation and other fields. This article will introduce the background and principles of NER, and give a usage

2023-10-09 comment 0  1097

Course Introduction：In "Ming Tide", Verinet made a special Morisu hot pot, adding many vegetables and plants that she carefully cultivated, and it was extremely delicious. After the player uses it, the attack power of all the resonators will be greatly increased for a certain period of time. Let's learn more about the detailed preparation method of Green Field Food. Mingchao Green Pot Recipe Introduction Type Dishes Quality 5-star Proficiency +60 per cooking time (maximum total of 600) Acquisition method Whether the cooking is a specialty dish Verinae Specialty Cuisine Function Increases the attack power of team echoers by 44% for 30 minutes. In multiplayer games, it only takes effect on yourself. The ingredients required for synthesis: hot pot base*1 clear soup*1 animal meat*1 versicolor versicolor*1

2024-07-15 comment 0  626

Course Introduction：ChatGPTPythonSDK Development Guide: Tips to improve the intelligent chat experience, specific code examples are required Introduction: With the development of artificial intelligence, natural language processing technology has gradually matured and been widely used in various fields. As an open source natural language processing model, ChatGPT can generate more realistic dialogue content through machine learning algorithm training. This article will introduce how to use ChatGPTPythonSDK to develop an intelligent chat system, and share some techniques to improve the chat experience.

2023-10-27 comment 0  1224

Course Introduction：LLM large language models are usually trained using the Transformer architecture to improve the ability to understand and generate natural language through large amounts of text data. These models are widely used in chatbots, text summarization, machine translation and other fields. Some well-known LLM large language models include OpenAI's GPT series and Google's BERT. In the field of natural language processing, retrieval-enhanced generation is a technique that combines retrieval and generation. It generates text that meets requirements by retrieving relevant information from large-scale text corpora and using generative models to recombine and arrange this information. This technique has a wide range of applications, including text summarization, machine translation, dialogue generation, and other tasks. Retrieval enhancement by taking advantage of retrieval and generation

2024-01-23 comment 0  1251