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Gopher is a large language model developed by DeepMind, focusing on language processing at scale. It explores ethical considerations and retrieval mechanisms to advance AI systems.
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Gopher is a 280 billion parameter transformer language model developed by DeepMind, designed to advance the understanding and generation of human language. This research-focused tool investigates the strengths and weaknesses of large language models, highlighting areas where increased scale boosts performance, such as reading comprehension and fact-checking. It also identifies limitations in logical reasoning and common-sense tasks. Gopher's development includes a comprehensive study of ethical and social risks associated with large language models, proposing a taxonomy of risks and failure modes. The project also explores improved language model architectures like RETRO, which enhances training efficiency and output traceability by incorporating an Internet-scale retrieval mechanism.
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