chatbot

GPT 5 is the next milestone in the development of AI, with unparalleled capabilities. Benefits include enhanced reasoning, advanced problem-solving, and unprecedented understanding. Please refer to the official website for price information.

Grok 4 is the latest version of the large-scale language model launched by xAI, which will be officially released in July 2025. It has leading natural language, mathematics and reasoning capabilities and is a top model AI. Grok 4 represents a huge step forward, skipping the expected Grok 3.5 version to speed up progress in the fierce AI competition.

Qwen3 is the latest large-scale language model launched by the Tongyi Qianwen team, aiming to provide users with efficient and flexible solutions through powerful thinking and rapid response capabilities. The model supports multiple thinking modes, can flexibly adjust the depth of reasoning according to task requirements, and supports 119 languages ​​and dialects, making it suitable for international applications. The release and open source of Qwen3 will greatly promote the research and development of large-scale basic models and help researchers, developers and organizations around the world use cutting-edge models to build innovative solutions.

Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model based on Llama-3.1-405B-Instruct, which undergoes multi-stage post-training to improve reasoning and chatting capabilities. This model supports context lengths up to 128K, has a good balance between accuracy and efficiency, is suitable for commercial use, and aims to provide developers with powerful AI assistant functions.

Open Multi-Agent Canvas is an open source multi-agent chat interface built on Next.js, LangGraph and CopilotKit. It allows users to manage multiple agents in a dynamic conversation and is primarily used for travel planning and research. This product utilizes advanced technology to provide users with an efficient and flexible multi-agent interactive experience. Its open source feature allows developers to customize and expand according to needs, with high flexibility and scalability.

The DeepSeek Project is a comprehensive technology project that aims to provide multiple capabilities by integrating the DeepSeek API. It includes an intelligent chatbot capable of automated message responses through the WeChat interface, supporting multiple rounds of conversations and context-sensitive replies. In addition, the project also provides a localized file processing solution to solve the technical limitations of the DeepSeek platform's unopened file upload API. It also includes the ability to quickly deploy DeepSeek distillation models, supports running locally on the server and includes a front-end interface. This project is mainly aimed at developers and enterprise users, helping them quickly implement intelligent chatbots and file processing functions, while providing efficient model deployment solutions. The project is open source and free, and is suitable for users who need to quickly integrate AI functions.

RAG Web UI is an intelligent dialogue system based on RAG technology. It combines document retrieval and large-scale language models to provide enterprises and individuals with intelligent question and answer services based on knowledge bases. The system adopts a front-end and back-end separation architecture and supports intelligent management of multiple document formats (such as PDF, DOCX, Markdown, Text), including automatic blocking and vectorization processing. Its dialogue engine supports multiple rounds of dialogue and reference annotation, and can provide accurate knowledge retrieval and generation services. The system also supports flexible switching of high-performance vector databases (such as ChromaDB, Qdrant), and has good scalability and performance optimization. As an open source project, it provides developers with a wealth of technical implementations and application scenarios, and is suitable for building enterprise-level knowledge management systems or intelligent customer service platforms.

This product is a 4-bit quantized language model based on Qwen2.5-32B, which achieves efficient reasoning and low resource consumption through GPTQ technology. It significantly reduces the storage and computing requirements of the model while maintaining high performance, making it suitable for use in resource-constrained environments. This model is mainly aimed at application scenarios that require high-performance language generation, such as intelligent customer service, programming assistance, content creation, etc. Its open source license and flexible deployment methods make it suitable for a wide range of applications in commercial and research fields.

xiaozhi-esp32 is an open source AI chatbot project developed based on Espressif's ESP-IDF. It combines large language models with hardware devices to enable users to create personalized AI companions. The project supports speech recognition and dialogue in multiple languages, has a voiceprint recognition function, and can identify the voice characteristics of different users. Its open source feature lowers the threshold for AI hardware development, provides valuable learning resources for students, developers and other groups, and helps promote the application and innovation of AI technology in the hardware field. The project is currently free and open source, and is suitable for developers of different levels to learn and develop secondary projects.

PatronusAI/Llama-3-Patronus-Lynx-8B-v1.1-Instruct-Q8-GGUF is a quantized version based on the Llama model, designed for dialogue and hallucination detection. This model uses the GGUF format, has 803 million parameters, and is a large language model. Its importance lies in its ability to provide high-quality dialogue generation and hallucination detection capabilities while maintaining efficient model operation. This model is built based on the Transformers library and GGUF technology, and is suitable for application scenarios that require high-performance dialogue systems and content generation.

PeterCat is an intelligent Q&A robot solution for GitHub community maintainers and developers. It uses a conversational Q&A Agent configuration system, a self-hosted deployment solution, and a convenient integrated application SDK to allow users to quickly create intelligent Q&A robots for their own GitHub warehouses and integrate them into official websites or projects to improve the efficiency of community technical support. The main advantages of PeterCat include conversational interaction, automatic knowledge storage, multi-platform integration, etc. It reduces the workload of community maintenance through automation and improves the speed and quality of problem solving.

radio-llm is a platform for integrating long language models (LLMs) with Meshtastic mesh communication networks. It allows users on the mesh network to interact with LLM for concise, automated responses. Additionally, the platform allows users to perform tasks through LLM such as calling emergency services, sending messages, and retrieving sensor information. Product background information shows that currently only demonstration tools for emergency services are supported, and more tools will be launched in the future.

Meta Llama 3.3 is a 70B parameter multilingual large-scale pre-trained language model (LLM) optimized for multilingual conversation use cases and outperforms many existing open source and closed chat models on common industry benchmarks. The model adopts an optimized Transformer architecture and uses supervised fine-tuning (SFT) and human feedback-based reinforcement learning (RLHF) to comply with human usefulness and safety preferences.

Llama-3.3-70B-Instruct is a large-scale language model with 7 billion parameters developed by Meta, which is specially optimized for multi-language dialogue scenarios. The model uses an optimized Transformer architecture and uses supervised fine-tuning (SFT) and human feedback-based reinforcement learning (RLHF) to improve its usefulness and safety. It supports multiple languages ​​and can handle text generation tasks, and is an important technology in the field of natural language processing.

OLMo-2-1124-13B-DPO is a 13B parameter large-scale language model that has undergone supervised fine-tuning and DPO training. It is mainly targeted at English and aims to provide excellent performance on a variety of tasks such as chat, mathematics, GSM8K and IFEval. This model is part of the OLMo series, which is designed to advance scientific research on language models. Model training is based on the Dolma dataset, and the code, checkpoints, logs and training details are disclosed.

Llama-3.1-Tulu-3-70B-SFT is part of the Tülu3 model family, designed to provide a comprehensive guide to modern post-training techniques. The model not only performs well on chatting tasks, but also achieves state-of-the-art performance on multiple tasks such as MATH, GSM8K, and IFEval. It is trained on publicly available, synthetic and human-created datasets, is primarily in English, and is licensed under the Llama 3.1 Community License.

Hermes 3 is the latest version of the Hermes series of large language models (LLM) launched by Nous Research. Compared with Hermes 2, it has significant improvements in agent capabilities, role playing, reasoning, multi-turn dialogue, and long text coherence. The core concept of the Hermes series of models is to align LLM with users, giving end users powerful guidance capabilities and control. Based on Hermes 2, Hermes 3 further enhances function calling and structured output capabilities, and improves general assistant capabilities and code generation skills.

C Know is a generative AI product jointly developed by CSDN and external partners. It focuses on providing programmers with Q&A, dialogue, file analysis, code generation and other services, aiming to improve work and learning efficiency. Through advanced artificial intelligence technology, it can understand and answer questions related to programming, supports multiple programming languages ​​and frameworks, and is a powerful assistant for programmers in their daily development and learning process.

Peter Cat is an intelligent Q&A robot solution designed for community maintainers and developers. It uses conversational Q&A Agent, configuration system, self-hosted deployment solution and convenient integrated application SDK to allow users to create intelligent Q&A robots with one click and quickly integrate them into various official websites or projects to provide the community with a more efficient technical support ecosystem.

WechatFerry is a WeChat robot framework designed to provide users with a one-stop WeChat operation solution. By integrating the WCF SDK client, it supports functions such as message monitoring, message sending, and group chat operations. At the same time, it also provides an Agent library to help users easily implement historical message processing, database operations and complex business logic. In addition, WechatFerry also provides a free PC Hook protocol compatible with Wechaty, as well as an integrated toolkit of the Nuxt framework, allowing developers to quickly build and debug WeChat robot applications.

Pipecat is an open source framework for building voice and multimodal conversational agents such as personal coaches, meeting assistants, children's story toys, customer support bots, reception processes, and resourceful social companions. It supports local operation and can be migrated to the cloud, integrates a variety of AI services and transmission methods, and is highly customizable and scalable.

Coze is a code-free AI chatbot development platform that allows users to quickly create intelligent chatbots without programming. The platform provides a powerful visual process editor, supports the addition of natural language processing, knowledge base, workflow, etc., and can realize complex AI interactions. The Kouzi platform also provides a wealth of debugging tools that can test and optimize the dialogue process between robots and users, greatly improving development efficiency. This product is suitable for various industry applications and can be deployed on different channels such as social networking and IM to create a personalized brand voice.

McAnswers is a programmer communication community based on ChatGPT 4.0. Users can discuss programming issues here, seek code error repair methods, obtain code refactoring guidance, quickly generate sample code, etc. We leverage the powerful understanding and generation capabilities of AI to create a smarter and more convenient coding journey.

Superpowered.ai solves many failure situations that occur in the actual use of standard RAG pipelines through its self-developed technical component SuperStack. SuperStack includes technologies such as AutoQuery, relevant paragraph extraction, and automatic context injection, which can convert easily confused or poorly expressed user input into well-formed search queries, dynamically retrieve relevant information, and ensure that the language model fully understands the meaning of each text. Quickly deploy conversational AI applications through Chat endpoints; provide UI components to accelerate application development. It can be widely used in scenarios such as customer support assistants, employee productivity tools, educational applications, legal aid tools, etc.

ChatDev is a chatbot development platform software development platform that can help users quickly build their own chatbots. ChatDev provides a wealth of functions and tools, including natural language processing, multi-language support, API integration, etc., to help users easily develop chatbots. ChatDev has flexible pricing, offering free trials and paid plans, suitable for both personal and business users.

CodeAssist is an artificial intelligence chatbot plug-in that can communicate in natural language in the editor and make code changes to open files. It's powered by GPT-4, can do things like open files, has long-term memory, is aware of code in other files you're working on, and can handle all popular programming languages. It is currently a paid version, and 1 point can perform approximately 7 messages/code generation/other operations, but there may be cheaper options in the future.

SiteCompanion is an online service that helps users convert website content into interactive AI chatbots. It allows users to easily create customized chatbots, answer users' questions through natural language interaction, and provide users with instant guidance and assistance.

AmigoAI is an AI creation assistant based on large-scale language models that helps users improve work efficiency and achieve automated creation. It can automatically generate various types of content based on prompt text, support the creation of codes, articles, stories, etc., and can also conduct intelligent conversations. AmigoAI uses unique deep learning technology to support Chinese input and the output style is coherent and smooth. It is a powerful tool for improving personal and organizational output.

Augmented AI is your personal AI and computer vision assistant! Our chatbot service provides on-demand support for your technical questions and project needs. Whether you're a beginner or an advanced user, our team can help you level up your skills. Get 24/7 access to expert guidance and resources.

LegacyAI is a tool that allows older Apple computers to interact with OpenAI's ChatGPT. It works on 15 different Mac systems from System 7 to 10.11 (El Capitan). You can also configure your proxy server to completely customize your experience. LegacyAI enables post-1988 Macintosh computers to communicate with ChatGPT before the official iOS app is available. LegacyAI is an efficient tool for anyone who wants to use an AI-based personal assistant on older Macintosh computers.

Taiga is a chat-based AI programming tutor that provides real-time feedback, guidance and personalized recommendations through Slack, helping users learn software engineering in an interactive and fun way. Based on artificial intelligence technology, Taiga encourages collaboration and communication among users, allowing you to connect with others during the programming process and fully realize your potential.

Chadview is a real-time meeting assistant based on ChatGPT for technical interviews. It can answer questions in real time in video conferences such as Zoom, Google Meet and Teams, helping interviewers save time and improve efficiency. Chadview uses a Chrome extension to capture audio from the browser and provide accurate answers to programming, analytical and mathematical questions via the ChatGPT API. Users simply click the "Ask" button during the video call and Chadview will generate an appropriate answer within 3-4 seconds. Chadview is priced at $15 per month, and users can cancel their subscription at any time.

BashSenpai is a terminal assistant that converts instructions into usable commands through ChatGPT. It provides the convenience of getting answers within the terminal and provides better answers by providing context to the question. BashSenpai supports the query of multiple Unix commands, helping users quickly obtain the correct usage and examples of commands.

GitGab is a chat application that connects to your Github repository. It can seamlessly connect your Github warehouse with the GitGab chat platform, allowing you to easily communicate, discuss and collaborate with team members. GitGab supports real-time chat, message notification, code sharing, version control and other functions. Whether you need to communicate with team members during the development process, or collaborate during code review, problem solving, or project management, GitGab can help you improve your team's work efficiency.