🚀 In this video, we give you a short introduction on h2oGPT, which is a ⭐️FREE open-source GPT⭐️ model that you can use it on your own machine with your own private data.

🔖h2oGPT supports various large language models (LLMs) including Meta's Llama 2, OpenAI's ChatGPT, Mistral AI's Mixtral, Hugging Face's Zephyr. It uses the LangChain framework to interface with various GPT or LLMs models available on HuggingFace.

You can upload your own private data to it or even include a web search so that you can ask specific or up-to-date questions from such LLMs about your own data.

In this video, we show you how to use h2oGPT by uploading a sample legal document to it, and asking questions from h2oGPT about that document. We also show you how you can download and install h2oGPT on your local machine.

BTW, LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). It enables developers to build context-aware and reasoning LLM applications by combining a large language model prompt with various external resources. LangChain is an open-source library that provides developers with tools to build applications powered by LLMs, and it is built around LLMs, allowing developers to create chains of different prompts interactively. Additionally, LangChain is a powerful, open-source framework that helps developers develop applications powered by a language model, particularly an LLM, and it is designed to streamline AI application development, focusing on real-time data processing and integration with LLMs.

The main features and benefits of h2oGPT are:

Features:
1. Simplifies the process of creating a private LLM.
2. Uses a local language model and vector database for data control and privacy.
3. Highly customizable, allowing researchers to fine-tune the model to their specific needs.
4. Supports the addition of new features and functionality to the model.
5. Provides a clean and user-friendly interface for easy navigation.
6. Supports LLM streaming and offers a bake-off mode for comparing and evaluating multiple models.
7. Offers insights on datasets, models, and drift detection tests.

The main Benefits of h2oGPT:
1. Enables organizations to create their own large language models while maintaining data integrity.
2. Democratizes large language models, making them more accessible and accurate.
3. Reshapes the way we interact with language models.
4. Empowers companies to build their own chatbots securely and transparently.
5. Provides a tool for chatbot development, text generation, and conversational AI research.
6. Freely available for modification and distribution, inviting developers and tech enthusiasts to contribute and enhance its features.
7. Allows users to generate text-based chat responses using natural language processing techniques.
8. Can be fine-tuned on specific downstream tasks to improve performance on targeted applications.
9. Provides a user-friendly interface called LLM Studio for easy usage.
10. Offers the ability to prototype AI-powered solutions using h2oGPT features.
11. Allows users to stay informed about the progress of LLM development through the Leaderboard.
12. Contributes to the advancement of LLM technology through open-source collaboration.

🔗You can download the complete code of h2oGPT from github via this link: [ Ссылка ]

🔗The online GUI of this platform can be used via this link: [ Ссылка ]

⭐️HashTags ⭐️
#h2ogpt #h2o #langchain #github #chatgpt #llama #meta #huggingface #mistral #zephyr #gpt #gpt4 #gpt3 #opensource #ai #aitools #generativeai #languagemodels #deeplearning #datascience #private #privacy

свернуть