The Launch of H2OGPT and LLM Studio: Empowering Companies to Build Chatbots with Open-Source Generative AI

H2O AI, a California-based company that helps enterprises with AI system development, announced the launch of two fully open-source products: a generative AI product called H2OGPT and a no-code development framework dubbed LLM Studio. These products aim to enable companies to create their own chatbots using state-of-the-art large language models (LLMs) without relying on proprietary APIs or sending sensitive data to third parties.

H2OGPT is a large language model (LLM) that can be used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. It is trained on a massive dataset of text and code, and it can be used to create chatbots, virtual assistants, and other AI-powered applications.

H2OGPT is an open-source generative AI product that is fine-tuned for commercial use cases. It is based on the GPT family of models, which are capable of generating natural language texts from a given prompt. H2OGPT offers several features that make it more transparent, interpretable and customizable than other LLMs. For example, users can:

• Choose from a variety of open models and datasets, ranging from 7 to 20 billion parameters and 512 tokens.

• See response scores and explanations for each generated answer, as well as flag issues or adjust output length.

• Publish their models to the Hugging Face Hub, an open platform for sharing and collaborating on LLMs, or internally on a repository.

LLM Studio is a no-code development framework that allows users to easily and effectively fine-tune LLMs for their specific needs. With LLM Studio, users can:

• Use a graphical user interface (GUI) specially designed for LLMs, without the need for any coding experience.

• Fine-tune any LLM using a large variety of hyperparameters and advanced techniques, such as Low-Rank Adaptation (LoRA) and 8-bit model training with a low memory footprint.

• Use advanced evaluation metrics to judge generated answers by the model and track and compare their model performance visually. In addition, Neptune integration can be used.

• Chat with their model and get instant feedback on their model performance.

LLM Studio makes it easy to build and deploy chatbots and other AI-powered applications. It provides a graphical user interface that allows users to drag and drop components to create their applications. LLM Studio also provides a number of pre-trained models, including H2OGPT, that can be used to power chatbots.

The launch of H2OGPT and LLM Studio is a significant development in the field of artificial intelligence. It makes it possible for companies of all sizes to develop their own chatbots and other AI-powered applications without having to hire expensive AI engineers.

H2OGPT is a large language model (LLM) that is trained on a massive dataset of text and code. This dataset includes text from books, articles, websites, and code from GitHub repositories. H2OGPT is able to use this dataset to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

To use H2OGPT and LLM Studio, follow the instructions provided in their GitHub repository. Here is a demo of h2oGPT.

Once you have installed H2OGPT and LLM Studio, you can start building your chatbot. To do this, you need to create a new project in LLM Studio. Once you have created a project, you can add components to it. The components that you can add include text boxes, buttons, and images. You can also add pre-trained models, such as H2OGPT, to your project.

Once you have added all of the components that you need, you can start testing your chatbot. To do this, you can click on the "Run" button in LLM Studio. LLM Studio will then deploy your chatbot to a web server. You can then test your chatbot by visiting the web server in your web browser.

There are a number of benefits to using H2OGPT and LLM Studio. These benefits include:

Ease of use: H2OGPT and LLM Studio are very easy to use. Even if you have no experience with AI, you can use H2OGPT and LLM Studio to build your own chatbots and other AI-powered applications.

Open source: H2OGPT and LLM Studio are both open source. This means that you can use them for free, and you can also modify them to suit your needs.

Powerful: H2OGPT is a powerful LLM that can be used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

H2O AI believes that every company needs its own GPT and that LLMs are too important to be owned by a few large tech giants and nations. By launching H2OGPT and LLM Studio, H2O AI hopes to empower its customers and communities to make their own chatbots and improve their products and customer experiences with open-source generative AI.

H2OGPT and LLM Studio are powerful tools that can be used to build chatbots and other AI-powered applications. If you are looking for a way to build your own chatbots, I encourage you to check out H2OGPT and LLM Studio.

GitHub and Hugging Face Links:

H2O LLM Studio (https://github.com/h2oai/h2o-llmstudio)

H2OGPT (https://github.com/h2oai/h2ogpt) 

https://huggingface.co/spaces/h2oai/h2ogpt-chatbot2