In today's digital age, the demand for AI conversational platforms that can help with various tasks, from spelling and grammar corrections to providing information and generating ideas, is constantly increasing.
However, many are concerned about privacy with the use of AI models such as ChatGPT and BingChat.
These platforms collect user data and interactions for research and educational purposes, leaving users wondering if their personal information will ever be shared.
Below we will look at an innovative platform called H2O.ai that combines the power of GPT 3.5 turbo with other open source models such as LLaMa and Falcon. This platform allows users to interact with various models simultaneously while maintaining their privacy. Let's look at the features and benefits of H2O.ai.
The H2OGPT online model is powered by H2O.ai.
With h2oGPT, you can:
Work with different LL modelsM, including LLaMa2, Falcon, GPT 3.5.
Document Interaction: H2OGPT allows users to upload various types of documents including plain text files (.txt), comma separated values (.csv), Word documents (.docx and .doc), PDFs, Markdown files (.md), HTML files , Epub, and even email files (.eml and .msg). You can then query these documents and interact with them using the H2OGPT platform.
Expert Settings: Adjust the model settings to suit your specific use case
Host the platform yourself if you want. You can see the documentation for further guidance.
To access the platform, you can visit the following link:
Multi model – https://gpt.h2o.ai/
If the host is busy, you can try the alternative liks below:
The concept of H2O.ai in open source initiatives like H2OGPT is commendable, as these projects offer competitive alternatives to closed systems, promoting transparency, respecting individual intellectual contributions, enabling users to leverage AI while maintaining control of their data.