Even open models contain hidden cognitive biases embedded during alignment phases. We analyze modern de-biasing techniques, proving why true open source must include full transparency in dataset composition and base alignment weight variables.
Even open models contain hidden cognitive biases embedded during alignment phases. We analyze modern de-biasing techniques, proving why true open source must include full transparency in dataset composition and base alignment weight variables.
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