We are delighted to announce the release of the "Directory of Large Language Models (LLMs)" by Predera. Our team at Predera has invested months of careful curation to compile this collection. Initially conceived as an internal project by our Generative AI team, this directory features an extensive selection of LLMs and some popular Foundation Models, including both general-purpose models and those designed for specific domains. The list includes a wide range of open-source and proprietary models developed by renowned global organizations and research groups, catering to various tasks such as text generation, language translation, sentiment analysis, question-answering, summarization, and much more. Each entry in the directory includes details about licenses, model parameters, the companies responsible for their development, and valuable links to GitHub or Hugging Face repositories.
Whether you are a developer, researcher, or simply curious about the latest advancements in AI-driven language models, this directory will prove to be an invaluable resource, keeping you informed and connected with the latest developments in the world of LLMs. We are thrilled to make this directory available to everyone, aiming to provide a valuable resource for researchers, developers, businesses, and enthusiasts. By exploring the diverse landscape of LLMs and harnessing their capabilities, individuals can drive innovation and tackle complex challenges.
As the field of language models is constantly evolving, and new models are being released regularly, to ensure the directory remains up-to-date and informative, Predera's team commits to regularly updating and maintaining it. However, if you believe that we missed any important LLM models that you would like to see included in this list, please let us know by filling out the form below. Your suggestions and contributions are valuable in ensuring that we continue to provide the most up-to-date and inclusive information to our readers. Thank you for joining us on this exploration of LLM models, and we look forward to your feedback and future interactions as we continue to navigate the exciting world of natural language processing together.