1. Background Introduction With the rapid development of natural language processing technology, machine translation has become an important research field. In recent years, large model-based language models have made significant progress in machine translation tasks. These large models usually have hundreds of millions or even hundreds of billions of parameters, enabling them to better understand … Read more
Hello everyone, I am Xuan Jie. Before we start the main content, let me promote myself a bit. The Spring Festival is approaching, to give back to the support of my fans, the “3-Day AI Agent Project Practical Live Training Camp” originally priced at 199 yuan, is now directly reduced to 19 yuan, and today … Read more
In the official example, chain = NebulaGraphQAChain.from_llm(ChatOpenAI(temperature=0), graph=graph, verbose=True) is used to retrieve from the NebulaGraph database. This article introduces the idea and implementation of replacing ChatOpenAI with GPT2, without considering the performance for now. The reason for not using ChatGLM2 is due to the slow model loading and debugging inconvenience, but replacing GPT2 with … Read more
Trends in AIGC The future LLM foundation models will become increasingly powerful, and many small models (huggingface models) are also thriving. When integrated with current enterprise applications or privatized data, new AI applications will emerge. In autonomous agent systems driven by LLM technology, LLM plays the role of the intelligent brain and includes three components … Read more
Author: Mariya Mansurova Translation: Ouyang Jin Proofreading: Zhao Ruxuan This article is approximately 3500 words, recommended reading time is 10 minutes. This article discusses the impact and insights of LLMs on the future work of analysts through two specific use cases that used the OpenAI API to build LLMs to solve simple tasks. In the … Read more
LangChain is a framework designed for developing applications powered by language models. It is not just about calling language models via API; it also provides data awareness, agent properties, and a range of module support, enabling developers to build more powerful and flexible applications. https://github.com/langchain-ai/streamlit-agent This article contains various reference implementations of LangChain agents, presented … Read more
* Click the blue text above “Niupitang Doesn’t Brag” to follow me Hello everyone, I am Niupitang! Recently, while experimenting with large language model applications, I found that many developers face the same problem: they want to quickly build an intelligent Q&A system or document analysis tool, but are often deterred by complex code and … Read more
01 1. Introduction to Flowise Today, I will introduce a powerful workflow orchestration tool for large models—Flowise. It has currently reached 22.5k stars on GitHub. It is considered one of the most user-friendly workflow orchestration tools for large models and can be used commercially for free. Flowise is based on LangChain.js and is a very … Read more
Aitrainee | Public Account: AI Trainee 🌟 Drag-and-drop UI to build your custom LLM workflows: Flowise, a user-friendly, no-code platform that simplifies the process of building LangChain workflows, allows developers to create LLM applications without writing code. Flowise’s key features include drag-and-drop UI, user-friendliness, and versatility. Simplifying LangChain workflow development with an intuitive drag-and-drop interface … 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 professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. With … Read more