HuggingChat Description
Providing top-notch open-source AI chat models for public access is a priority. HuggingChat serves as an alternative to ChatGPT, embracing the principles of open-source development.
HuggingChat Alternatives
LM-Kit.NET
LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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Social Intents
Offer website live chat support from the collaboration tools you already use: Microsoft Teams, Google Workspace, Slack, and Zoom.
Build ChatGPT powered AI Chatbots in 1-Click and enable your chatbots when your agents are unavailable. Create WhatsApp, SMS, and Messenger chatbots with the ability to escalate to humans when it makes sense.
No need to learn additional software to support customers. Engage potential customers when they need your help, close more deals, and increase online revenue.
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StableVicuna
StableVicuna represents the inaugural large-scale open-source chatbot developed through reinforced learning from human feedback (RLHF). It is an advanced version of the Vicuna v0 13b model, which has undergone further instruction fine-tuning and RLHF training. To attain the impressive capabilities of StableVicuna, we use Vicuna as the foundational model and adhere to the established three-stage RLHF framework proposed by Steinnon et al. and Ouyang et al. Specifically, we perform additional training on the base Vicuna model with supervised fine-tuning (SFT), utilizing a blend of three distinct datasets. The first is the OpenAssistant Conversations Dataset (OASST1), which consists of 161,443 human-generated messages across 66,497 conversation trees in 35 languages. The second dataset is GPT4All Prompt Generations, encompassing 437,605 prompts paired with responses created by GPT-3.5 Turbo. Lastly, the Alpaca dataset features 52,000 instructions and demonstrations that were produced using OpenAI's text-davinci-003 model. This collective approach to training enhances the chatbot's ability to engage effectively in diverse conversational contexts.
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AI Collective
AI Collective is an extremely powerful tool that combines the capabilities of multiple AI platforms. It is a front-end script that allows users to install in their preferred environment, and access diverse AI models such as ChatGPT. There are no additional fees or subscriptions required. Its flexibility allows for full AI capabilities to be utilized across platforms.
AI Collective Features:
- A wide range of prompts ready to use
- AI personas for assistance at work
- Upload any document and ask related questions
- Creates original images that are free of copyright for any content
- Can write emails, articles, scripts for videos, etc.
Supports seamless swapping between AI language models during prompting
Upload documents for AI-specific task-specific training
Pay-per-use API Access instead of monthly subscriptions
Exclusive access to AI models
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Pricing
Pricing Starts At:
Free
Pricing Information:
Open source
Free Version:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Hugging Face
Year Founded:
2016
Headquarters:
United States
Website:
huggingface.co/chat/
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
HuggingChat Features and Options
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