Localizing Inference Deployment for Multimodal Models

Localizing Inference Deployment for Multimodal Models

Today I will share the complete implementation of local inference deployment for multimodal models. To facilitate everyone’s understanding of the entire process, I have organized the steps and provided detailed results. Friends who are interested should try it out quickly. 1. Introduction to DeepSeek-R1 andllama3.2-vision Models DeepSeek R1 is an open-source inference-optimized large language model … Read more

Complete DeepSeek-R1 671B Local Deployment Tutorial

Complete DeepSeek-R1 671B Local Deployment Tutorial

Click on the above “Beginner Learning Visuals“, select “Star” or “Pin“ Heavyweight content delivered first-hand The following article comes from the WeChat public account: Datawhale Author: Li Xihan Link: https://mp.weixin.qq.com/s/dKfQfv78ch4IlzBML9Tmkw This article is for academic sharing only. If there is any infringement, please contact the backend for deletion Introduction During the recent Spring Festival, DeepSeek … Read more

QAV: Principles and Prospects of Agent Collaboration Based on Large Language Models

QAV: Principles and Prospects of Agent Collaboration Based on Large Language Models

Author: Zhang Jialin This article is approximately 6000 words long, with a suggested reading time of 12 minutes. Human beings need to weigh the pros and cons and adopt appropriate regulatory and control measures to ensure the continuous, safe, and sustainable development of artificial intelligence. About seventy thousand years ago, a genetic mutation endowed humans … Read more

How to Deploy DeepSeek Locally on Android

How to Deploy DeepSeek Locally on Android

Today, let’s talk about how to install DeepSeek on an Android phone using Termux and Ollama. Do you think the mobile operating system and these advanced AI tools are somewhat unrelated? Don’t worry, the process is actually not as complicated as you might think. Follow my steps and let’s get it done together! Step 1: … Read more

Deploying DeepSeek Locally: A Step-by-Step Guide

Deploying DeepSeek Locally: A Step-by-Step Guide

Today, let’s talk about the hardcore topic of deploying large models! I believe many programmer friends have experienced the frustration of opening a web page to use AI, only to be greeted with a pop-up saying “Server Busy, Please Try Again Later”. That sense of helplessness can really make one question life. Well, who made … Read more

CrewAI: A Multi-Agent Framework Combining Diverse Strengths

CrewAI: A Multi-Agent Framework Combining Diverse Strengths

In previous articles, such as “Exploring LLM Application Development (26) – Prompt (Architecture Patterns of Agent Frameworks like AutoGPT, AutoGen, etc.)”, I introduced several multi-agent frameworks like AutoGen and ChatDev. Recently, a promising framework has emerged in the industry – CrewAI, which stands on the shoulders of frameworks like AutoGen, aiming for practical deployment. It … Read more

Llama Imitates Diffusion Multimodal Boosts Performance by 30%

Llama Imitates Diffusion Multimodal Boosts Performance by 30%

Jin Chen, Contributor at Quantum Bits | WeChat Official Account QbitAI This time, it’s not about rolling parameters or computing power, but about rolling “cross-domain learning” — Let Stable Diffusion be the teacher, teaching multimodal large models (like Llama-3.2) how to “describe images”! Performance skyrocketed by 30%. The latest research by Chinese researchers in collaboration … Read more

DeepSeek Local Deployment Guide: Say Goodbye to ‘Server Busy’!

DeepSeek Local Deployment Guide: Say Goodbye to 'Server Busy'!

Have you ever experienced the frustrating moments when the web version of DeepSeek keeps “spinning”? Today, I’ll teach you how to install the most powerful domestic AI model on a regular computer, allowing you to say goodbye to lag and privacy concerns! A complete toolkit and pitfall guide are included at the end of the … Read more

Quickly Build Your Own AI System with DeepSeek (Complete Code Included)

Quickly Build Your Own AI System with DeepSeek (Complete Code Included)

Hello everyone, I am Chen Ge! If you are a developer or an AI enthusiast, you might want to quickly extract answers from a large volume of documents without flipping through every page. Today, I will guide you on how to build a localized Retrieval-Augmented Generation (RAG) system to get precise answers directly from documents. … Read more