Author: Richard MacManus Translator: Ming Zhi Shan Editor: Tina LangChain is a programming framework that helps use large language models (LLMs) in applications. Like everything in generative AI, this project’s development is very rapid. In October 2022, it started as a Python tool, and then in February this year, support for TypeScript was added. By … Read more
Click the above “Yudao Source Code“, select “Set as Star” What about the previous wave or the next wave? The wave that can roll is the good wave! Every day at 10:33 we update articles, losing a bit of hair every day… Source Code Quality Column Original | The Super Road of Java 2021, very … Read more
Follow the public account “GitHubDaily” Set as “Starred“, bringing you daily GitHub tours! A while ago, I wrote an article introducing several methods to easily break the myth of ChatGPT’s inability to access the internet without installing the ChatGPT Plugin. Recently, I’ve seen many students interested in this, so I gathered and improved these solutions, … Read more
It is recommended to click on the original text at the bottom of the article for a better reading experience, including displaying external links and viewing high-definition illustrations. In the article that introduces MCP (Model Context Protocol), we quickly covered the basic concepts of MCP and provided an example to give readers an initial feel … Read more
Introduction to MCP MCP (Model Context Protocol) is a development protocol that standardizes how applications provide context for large models. MCP provides a standardized way to supply data and tools for LLMs, making it easier to build agents or complex workflows based on LLMs. Architecture MCP follows a client-server architecture where an MCP host application … Read more
Introduction Competition Link: Code Qwen AI Challenge – Algorithm Track_Algorithm Competition_Questions and Data_Tianchi Competition – Data and Questions from Alibaba Cloud Tianchi Code is one of the high-quality languages created by humans, replacing the diverse natural language through high abstraction, ultimately converting to specific programs to complete tasks for humans. It possesses advantages such as … Read more
ClickFollowWeChat Official Account, “Technical Insights” for Timely Updates! Introduction If you want to deploy and run an open-source large model on localhost, you can try Ollama. In this article, we will deploy Ollama and call the large model via API. Installation Ollama provides two development packages for Python and JavaScript, which are quite friendly for … Read more
Recently, the official Ollama released its Python tool library. This article introduces a guide to integrating Ollama into Python, showcasing how developers can easily utilize AI capabilities. The previous article discussed how to deploy Ollama’s large model. This time, we will expand on that foundation to create a web Q&A bot. Integrating the large model … Read more
If you’re starting to explore how to test open source large language models (LLM) with Generative AI for the first time, the overwhelming amount of information can be daunting. There is a lot of fragmented information from various sources on the internet, making it difficult to quickly start a project. The goal of this article … Read more
LM Studio is the simplest way to support local open-source large language models. It is plug-and-play, requires no coding, is very simple, and has a beautiful interface. Today, I will introduce this application. 1. What Can LM Studio Do? 🤖 Run LLM completely offline on a laptop 👾 Use models via in-app chat UI or … Read more