Window is a platform designed to connect AI models to the web, enabling users to leverage various models for text generation and 3D creations. It allows users to bring their own models, including locally running ones, and use them across different applications. For developers, Window eliminates the need to rely on specific language model APIs like OpenAI, facilitating the creation of model-agnostic and multi-media AI applications that users can try for free. Model providers can also benefit by gaining access to a wider user base without requiring developers to modify their code.
What is Window?
How to use
Configure your models once on Window. Web apps can then request your permission to send prompts to your chosen model. You retain visibility on what's being asked and when.
Core Features
- Connect AI models to the web
- Support for text generation and 3D creations
- Model-agnostic application development
- User control and visibility over model usage
Use Cases
- Developing AI applications that can utilize various language models without being tied to a specific API.
- Allowing users to use their own locally hosted AI models in web applications.
- Providing a platform for model providers to reach a wider audience.
FAQ
What types of models are supported by Window?
Window supports a variety of text models, including OpenAI's GPT-3.5, GPT-3.5 16k, and GPT-4; Google's PaLM 2 Chat and Code Chat (Bison); Anthropic's Claude, Claude Instant, and Claude 100k; local models like Alpaca, Llama, and GPT4All; Together's GPT NeoXT 20B; and Cohere Xlarge. It also supports OpenAI's Shape-E for 3D object models.
How does Window benefit developers?
Window allows developers to create model-agnostic and multi-media AI applications without needing to pay for specific language model APIs. Users can try these applications for free, and developers can access a wider range of models.
How does Window benefit model providers?
Window provides model providers with access to more users on the web without requiring developers to change their code, expanding their reach and potential usage.
Pricing
Pros & Cons
Pros
- Enables model-agnostic AI application development.
- Allows users to bring their own models, including local ones.
- Provides visibility and control over model usage.
- Offers a platform for model providers to reach more users.
Cons
- Requires initial configuration of models.
- Relies on user permission for prompt execution.
- The extent of 3D model support is not fully detailed (missing {价格页网站内容}).