The Advancements in Artificial Intelligence (AI) have generated a lot of buzz recently. People from different fields are utilizing AI applications to solve everyday tasks. OpenAI recently released ChatGPT, a chatbot based on GPT 3.5 and GPT 4’s transformer architecture. These Large Language Models (LLMs) have gained significant attention in the field of Natural Language Processing. They have the ability to imitate humans and have various use cases. These models can understand and generate text that closely resembles human language.
However, despite their potential, LLMs have limitations. They can unintentionally replicate biases or prejudices present in the data they learn from, as they rely on massive volumes of online data. LLMs might also produce offensive or inappropriate content, making it challenging to ensure ethical and responsible usage. Furthermore, there may be unauthorized inclusion of copyrighted material. To address these issues, H2O.ai has introduced h2oGPT, an open-source suite of code repositories for creating and using LLMs based on Generative Pretrained Transformers (GPTs).
h2oGPT aims to promote a more open and accessible AI ecosystem. It provides a truly open-source alternative to closed-source methods. H2O.ai, in collaboration with the open-source community, has made several improved h2oGPT models available under permissive Apache 2.0 licenses. These models range from 7 to 40 billion parameters and can be used for commercial purposes. This availability enables unrestricted use by individuals, groups, and businesses in their applications.
One of the main benefits of open-source language models like h2oGPT is their flexibility. Users can adapt these models to meet their specific requirements, whether it’s improving healthcare systems, revolutionizing scientific research, or redefining educational experiences. In addition to its open-source capabilities, h2oGPT offers a unique feature – 100% private document search using natural language. This development allows users to search private documents without compromising data security or privacy. It enables people and organizations to unlock knowledge from their private papers while maintaining control over sensitive information through the power of natural language processing.
In conclusion, h2oGPT is a promising addition to the field of Artificial Intelligence. The adoption of open-source language models, such as h2oGPT, is crucial for advancing AI research and making it more reliable and accessible. This openness promotes creativity, accountability, and fairness within the AI community. By democratizing AI and making LLMs accessible to everyone, H2O.ai aims to create a more diverse and ethical AI environment.
Check out the Paper, GitHub link, and Demo of h2oGPT for more information. Don’t forget to join our ML SubReddit, Discord Channel, and Email Newsletter for the latest AI research news, cool projects, and more. If you have any questions or if we missed anything, feel free to email us at Asif@marktechpost.com.
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(Note: This article has been edited by Tanya Malhotra, a final year undergrad from the University of Petroleum & Energy Studies, Dehradun, specializing in Artificial Intelligence and Machine Learning. She is a Data Science enthusiast with good analytical and critical thinking skills, as well as a passion for acquiring new skills and managing work efficiently.)