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
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
Anthropic has open-sourced a revolutionary new protocol—MCP (Model Context Protocol)—which aims to completely address the pain points of connecting data in LLM applications! Its goal is to enable cutting-edge models to generate better and more relevant responses. No longer will you need to write custom integration code for each data source; MCP handles it all … Read more
Before reading the content below, you need to understand ollama and Function Calling. The MCP is an open protocol that standardizes how applications provide context to large language models (LLMs). It also provides a standardized way to connect AI models to various data sources and tools. This protocol was defined by Anthropic, and one of … Read more
Warning: This may be the easiest to understand, easiest to run example for efficient fine-tuning of various open-source LLM models, supporting both multi-turn and single-turn dialogue datasets. We constructed a toy dataset of three rounds of dialogue that modifies the self-awareness of the large model, using the QLoRA algorithm, which can complete fine-tuning in just … Read more
Project Introduction Ollama is a project focused on the local deployment and running of large language models, such as Llama 2 and Mistral. This project is licensed under the MIT License and is primarily written in Go, while also integrating languages such as C, Shell, TypeScript, C++, and PowerShell. With over 33.5k stars and 2.2k … 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