Ultimate 跨平台AI Solutions for Everyone

Discover all-in-one 跨平台AI tools that adapt to your needs. Reach new heights of productivity with ease.

跨平台AI

  • ThinkBoxAI: Affordable, cross-platform AI client for boosting productivity.
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    What is ThinkBoxAI?
    ThinkBoxAI is a desktop client application that allows users to interact seamlessly with OpenAI's services. Designed for affordability and ease of use, ThinkBoxAI offers a Pay As You Go model for ChatGPT, customizable GPT outputs, and a ready-made prompt library. With ThinkBoxAI, users can maximize the potential of AI without compromising on privacy, as the client ensures no storage of chat data. Available on Windows, Mac, and Linux, it supports a wide range of AI-driven tasks across different platforms.
  • Ask multiple AI assistants simultaneously and get the best answer with a single click.
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    What is AI Roundtable?
    AI Roundtable is a Chrome extension that enables users to ask questions to multiple AI assistants simultaneously. Users can customize which AI assistants they want to query, including popular options like ChatGPT, Meta AI, and more. With simple keyboard shortcuts, you can toggle between different AI assistants and receive responses quickly. This tool aims to provide the best possible answers by leveraging the strengths of various AI platforms. Upcoming features include voice input to further enhance usability.
  • Access 23 advanced language models from multiple providers in one platform.
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    What is ModelFusion?
    ModelFusion is designed to streamline the use of generative AI by offering a single interface for accessing a wide array of large language models (LLMs). From content creation to data analysis, users can leverage the capabilities of models from providers like OpenAI, Anthropic, and more. With 23 different models available, ModelFusion supports diverse applications, ensuring that users can find the right solution for their specific needs. Fusion credits facilitate the use of these models, making advanced AI accessible and efficient.
  • Access 60+ top AI models with one subscription through Admix.
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    What is Admix - Your One-Stop AI Powerhouse!?
    Admix is designed to provide users with access to over 60 of the top AI models through a single subscription. With Admix, users can effortlessly explore and compare multiple AI models from a comprehensive library. Key features include an AI Playground to compare responses from six models simultaneously, AI Copilot integration across the web for enhanced productivity, and an AI Side Panel for easy access. Whether you're writing emails, debugging code, or exploring advanced AI functionalities, Admix offers a streamlined and efficient AI experience.
  • AGNO AI Agents is a Node.js framework offering modular AI agents for summarization, Q&A, code review, data analysis, and chat.
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    What is AGNO AI Agents?
    AGNO AI Agents delivers a suite of customizable, pre-built AI agents that handle a variety of tasks: summarizing large documents, scraping and interpreting web content, answering domain-specific queries, reviewing source code, analyzing data sets, and powering chatbots with memory. Its modular design lets you plug in new tools or integrate external APIs. Agents are orchestrated via LangChain pipelines and exposed through REST endpoints. AGNO supports multi-agent workflows, logging, and easy deployment, enabling developers to accelerate AI-driven automation in their apps.
  • Python-based RL framework implementing deep Q-learning to train an AI agent for Chrome's offline dinosaur game.
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    What is Dino Reinforcement Learning?
    Dino Reinforcement Learning offers a comprehensive toolkit for training an AI agent to play the Chrome dinosaur game via reinforcement learning. By integrating with a headless Chrome instance through Selenium, it captures real-time game frames and processes them into state representations optimized for deep Q-network inputs. The framework includes modules for replay memory, epsilon-greedy exploration, convolutional neural network models, and training loops with customizable hyperparameters. Users can monitor training progress via console logs and save checkpoints for later evaluation. Post-training, the agent can be deployed to play live games autonomously or benchmarked against different model architectures. The modular design allows easy substitution of RL algorithms, making it a flexible platform for experimentation.
  • A lightweight C++ inference runtime enabling fast on-device execution of large language models with quantization and minimal resource usage.
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    What is Hyperpocket?
    Hyperpocket is a modular inference engine that allows developers to import pre-trained large language models, convert them into optimized formats, and run them locally with minimal dependencies. It supports quantization techniques to reduce model size and accelerate performance on CPUs and ARM-based devices. The framework exposes both C++ and Python interfaces, enabling seamless integration into existing applications and pipelines. Hyperpocket automatically manages memory allocation, tokenization, and batching to deliver consistent low-latency responses. Its cross-platform design means the same model can run on Windows, Linux, macOS, and embedded systems without modification. This makes Hyperpocket ideal for implementing privacy-focused chatbots, offline data analysis, and custom AI-powered tools on edge hardware.
  • Perplexity is a free AI-powered answer engine providing real-time, accurate, and trusted answers to any question.
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    What is Perplexity AI?
    Perplexity is an advanced AI-powered answer engine that aims to change the way we access and utilize information. It provides instant, accurate, and credible answers to any question, ensuring that users get relevant and real-time information. Whether you need to summarize an article, perform market research, or find quick answers to simple queries, Perplexity is your go-to solution. It supports multiple platforms and leverages advanced technologies, making it an invaluable tool for students, professionals, and curious minds alike.
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