Unlocking video insights at scale with Amazon Bedrock multimodal models | Artificial Intelligence - Amazon Web Services
<a href="https://news.google.com/rss/articles/CBMiugFBVV95cUxNblNLM1kyNmJmeGNnb0pNQ2c1YnF1MTVpZ1RIMVVsWE1QbHE5VTNVb3ZqQWQwMHJ0aW9ESGNVQkRiNEF0NjZqM0NobUI1QUkyRVNWUG5rUXBhaHJ5QThjUWlvU2hTVVp1S0g1d0RDZGh5N0JXVEY5ak5ZVG5wSHpfdnZtVXR6X0FCUWRzUVRla2FGVGlmMldvQnBWa1NvVWRtM21fbVotbTdNQnlkT21WYkdPck9jcEYxSlE?oc=5" target="_blank">Unlocking video insights at scale with Amazon Bedrock multimodal models | Artificial Intelligence</a> <font color="#6f6f6f">Amazon Web Services</font>
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90% людей используют нейросети как поисковик. И проигрывают.
Сидел я как-то в своем любимом кафе в центре Киева, потягивая капучино и глядя на бесконечную ленту кода на экране. Было 15 сентября 2023 года, и я уже потратил 12 часов на борьбу с проектом для клиента из США. Попытка использовать ChatGPT для аналитики больших данных только затянула процесс. Заплатить за это много часов, но результат оставлял желать лучшего. Нервно подперев голову рукой, я нащупал кнопку 'обновить' в поисках очередного ответа. Проблема была не в инструменте, а в подходе. Я попытался использовать универсальное решение для задачи, которая требовала чего-то более специализированного. Когда клиенты платят за результат, а не за процесс, времени на эксперименты просто нет. Я собрал промпты по этой теме в PDF. Забери бесплатно: https://t.me/airozov_bot В тот же вечер, разочарова
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