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Last Updated on February 14, 2024 by Ivan Cocherga


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OPT-175B is a large-scale language model developed by Meta AI, featuring 175 billion parameters. It is part of the Open Pre-trained Transformer (OPT) series, designed to democratize access to state-of-the-art natural language processing (NLP) technologies. The model was trained on a diverse dataset, including texts from books and the web, but explicitly excluding any user data from Meta’s platforms to ensure privacy and enable public release.

Pros of OPT-175B:

  • Accessibility: Unlike some other large models, OPT-175B, along with its training code and operational logbook, has been made publicly available, which is beneficial for research transparency and collaboration【7†source】.
  • Energy Efficiency: The model was developed with a focus on reducing the carbon footprint, achieving this goal by using only 1/7th the carbon footprint of its counterparts like GPT-3, thanks to efficient training techniques【5†source】.
  • Research Enablement: By releasing the model and its associated datasets, Meta aims to foster open and reproducible research, allowing a broader segment of the AI community to advance the field and address ethical considerations of such technologies【7†source】.

Cons of OPT-175B:

  • Resource Intensive: While efforts have been made to reduce environmental impact, training such a model still requires significant computational resources and energy, which may not be accessible to all researchers or institutions.
  • Potential for Bias: As with all large language models, there’s an inherent risk of propagating biases present in the training data, despite efforts to mitigate these issues through diverse datasets and responsible AI practices.
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Use Cases:

OPT-175B is designed for a wide range of NLP tasks, including but not limited to text generation, text classification, and question answering. Its capabilities are enhanced by the architecture allowing for advanced applications in conversational AI, content creation, and more complex language understanding tasks【6†source】.


As a publicly released model, OPT-175B and its smaller counterparts are available for free, under a non-commercial license. This open access is intended to enable researchers from various sectors, including academia, government, and industry, to utilize the model for non-commercial purposes. However, users interested in accessing the full 175B model must go through an application process, while smaller versions are directly accessible through platforms like HuggingFace Transformers【7†source】.

The release of OPT-175B represents a significant step towards more open, responsible, and collaborative AI research, highlighting Meta’s commitment to advancing the field while addressing the environmental and ethical challenges associated with large-scale AI models.

Ivan Cocherga

With a profound passion for the confluence of technology and human potential, Ivan has dedicated over a decade to evaluating and understanding the world of AI-driven tools. Connect with Ivan on LinkedIn and Twitter (X) for the latest on AI trends and tool insights.

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