If you have read Jina's last classic article "Design and Implementation of DeepSearch/DeepResearch", then you may want to dig deeper into some details that can significantly improve the quality of answers. This time, we will focus on two details: extracting optimal text segments from long web pages: how to utilize late-chun...
Comprehensive Introduction VACE is an open source project developed by Alitongyi Visual Intelligence Lab (ali-vilab), focusing on video creation and editing. It is an all-in-one tool that integrates a variety of features, such as generating videos based on references, editing existing video content, localization modifications, and more. The project was launched in 2025 ...
Enable Builder Smart Programming Mode, unlimited use of DeepSeek-R1 and DeepSeek-V3, smoother experience than the overseas version. Just enter the Chinese commands, even a novice programmer can write his own apps with zero threshold.
In December of last year, Gemini 2.0 Flash was first shown to select testers with its native image output capabilities. Developers can now experience this new feature in all areas supported by Google AI Studio. Developers can access Gemini 2.0 Flash through Google AI Studio (gemini-2.0-flash-exp ...
Introduction Ollama provides a powerful REST API that enables developers to easily interact with large language models. With the Ollama API, users can send requests and receive responses generated by the model, applied to tasks such as natural language processing, text generation, and so on. In this paper, we will introduce in detail the generation of complementary, dialog generation ...
Windows The following is an example of how to customize Ollama to run in the GPU on a Windows system.Ollama uses the CPU for inference by default. For faster inference, you can configure the GPU used by Ollama.This tutorial will guide you on how to set up the ring on a Windows...
Take Windows system as an example, the models pulled by Ollama are stored in C disk by default, if you need to pull more than one model, the C disk will be full, affecting the storage space of C disk. Therefore, this section will introduce how to customize the Ollama model in Windows, Linux and MacOS...
Introduction In this section, we learn how to use Modelfile to customize the import of models, which is divided into the following sections: Importing from GGUF Importing from Pytorch or Safetensors Importing from Models Directly Importing from Models Customizing Prompts I. Importing from GGUF Importing from GGUF (GPT-Generated Unified ...
Introduction This section learns how to complete the installation and configuration of Ollama in Docker. Docker is a virtualized container technology that is based on images and can start various containers in seconds. Each of these containers is a complete runtime environment that enables isolation between containers. Ollama Download ...
Introduction This section learns how to complete the installation and configuration of Ollama on a Linux system, as well as updating Ollama, version-specific installations, viewing logs, and uninstalling. I. Quick Installation of Ollama Download: https://ollama.com/download Ollama official homepage: https://ollama....
Introduction This section learns how to complete the installation and configuration of Ollama in the Windows system, is divided into the following parts: Visit the official website directly to complete the download Environment variable configuration Run Ollama to verify the success of the installation 🎉 First, visit the official website directly to complete the download Visit the official home page of the Ollama under ...
Introduction In this section, we will learn how to complete the installation and configuration of Ollama in macOS system, which is mainly divided into the following three parts: Visit the official website to complete the download directly Run Ollama Installation Enchanted a. Visit the official website to complete the download directly Visit the official homepage of Ollama download: https://ollama.com/d...
With the rapid development of Agent technology, MCP (Model Communication Protocol) has gradually become the core communication standard in the Agent ecosystem due to its ease of use and efficiency. More and more head AI code editors (e.g., Cursor, Windsurf, etc.) start to support MCP ...
I've published many tutorials on Ollama installation and deployment before, but the information is quite scattered, this time I've organized a complete instruction on using Ollama on local computers in one step. This tutorial is aimed at beginners to avoid stepping on puddles, and we recommend reading the official Ollama documentation if you have the ability to do so. Next I'll go step by step...
Gemma 3 Key Information Summary I. Key Metrics Parameters Details Model size 100 million to 27 billion parameters in four versions: 1B, 4B, 12B, 27B Architecture Transformer-based decoder-specific architecture inherited from Gemma 2 with several improvements Multimodal capabilities Support for text and image...
General Introduction Autiobooks is an open source tool designed to help users quickly convert eBooks in .epub format to audiobooks in .m4b format. It uses high quality speech synthesis technology provided by Kokoro to generate natural and smooth audio. The tool was developed by David Nesbitt and follows the MIT ...
Comprehensive Introduction Story-Flicks is an open source AI tool focused on helping users quickly generate HD story videos. Users only need to input a story topic, and the system will generate story content through a large language model, and combine AI-generated images, audio and subtitles to output a complete video work. After the project...
Workflow automation is seeing a new wave of change in the face of rapidly changing artificial intelligence technology. For a long time, traditional automated processes have relied on predefined fixed actions, which are stretched when dealing with complex problems, like having a pianist only mechanically play a musical score, lacking flexibility and creativity...
Comprehensive Introduction mcp-server-qdrant is a Model Context Protocol (MCP) server built on the Qdrant vector search engine. It is mainly used to help AI systems store and retrieve memories, and is especially suited for scenarios that require semantic search. This tool transforms information into vectors by...
Baidu Wenxin Intelligent Body Platform has launched a new tool called "Lead Intelligence Body". Lead Intelligence is based on big model technology and is specifically designed to help companies identify, acquire and convert leads more effectively. What is Lead Intelligence? Lead Intelligence is a new tool provided by Baidu Wenshin Intelligent Body Platform for enterprises to...