Build large model applications using a drag-and-drop approach. This project allows you to customize large model (LLM) workflows through a visual drag-and-drop interface, making it easy to create LLM applications, and it supports one-click service startup with Docker. How to Use API You can use the chat flow as an API and connect it to … Read more
Today, I am excited to share another similar tool that offers a no-code drag-and-drop experience: Flowise (https://flowiseai.com/). Flowise is a special tool for developers designed to build LLM applications without diving deep into coding. It is equally beneficial for organizations striving to quickly prototype and develop LLM applications in an agile manner. Let’s take a … Read more
Flowise is a low-code/no-code drag-and-drop tool that helps people easily visualize and build LLM applications. LLM applications have a wide range of applications across many industries, from finance to healthcare, to retail and logistics. With FlowiseAI, even those without programming experience can create these applications without writing any code. This is also beneficial for organizations … Read more
ZHU Zhiting1, ZHAO Xiaowei2, SHEN Shusheng2 (1.School of Open Learning and Education, East China Normal University, Shanghai 200241; 2.College of Educational Science, Nanjing Normal University, Nanjing Jiangsu 210097) The following video is sourced from Research on Educational Technology [Abstract] Presently, AI large language models (AI LLMs) are reshaping the classroom ecology in an unprecedented way, … Read more
MLNLP is a well-known machine learning and natural language processing community in China 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, especially for the progress of … 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 researchers from enterprises. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the … 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. Community Vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the progress of beginners. Reprinted … Read more
1. Course Introduction Two Types of Large Models Base LLMs: Predict the next word based on text training data. Instruction Tuned LLMs: Refined through RLHF on the base, forming useful, honest, and harmless AI. 2. Prompt Principles Principle 1: Write Clear and Specific Instructions clear != short Principle 2: Give the Model Time to “Think” … 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 researchers in enterprises. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the … Read more
1. Introduction Ollama Official Website: https://github.com/ollama/ollama Ollama is an open-source platform for artificial intelligence (AI) and machine learning (ML) tools, specifically designed to simplify the deployment and usage process of large language models (LLMs). Users can conveniently run various large language models locally, such as Llama 2 and other open-source models, using Ollama. The main … Read more