近年来，随着人工智能技术的飞速发展，大模型成为人工智能领域中的热点话题。在极客公园创新大会 2024 的现场，百川智能创始人王小川分享了大模型的新思考。王小川认为，目前大模型是「学」，但是「不思」，接下来模型演进的方向是把「学」和「思」要合在一起。
在大模型的发展过程中，产品经理的出发点，应该从思考产品市场匹配（PMF），到思考技术与产品的匹配怎么做，即 TPF（Technology Product Fit，技术产品匹配）。这种新的开发范式下，技术与产品之间的匹配成为产品经理的重要考虑因素。
随着大模型的不断演进，产品经理需要不断思考如何将技术与产品更好地匹配，以满足市场和用户的需求。而大模型的学习与思考相结合，也将成为推动大模型发展的重要方向。
新闻翻译：
Title: The evolution direction of large models is to combine learning and thinking
Keywords: large models, learning, thinking
News content:
In recent years, with the rapid development of artificial intelligence technology, large models have become a hot topic in the field of artificial intelligence. At the Innovation Conference 2024 of Jike Park, the founder of Bai川 Intelligence, Wang Xiaochuan shared new thoughts on large models. Wang Xiaochuan believes that currently, large models are “learning”, but “not thinking.” The direction of model evolution in the future will be to combine learning and thinking.
In the development process of large models, product managers need to constantly think about how to better match technologies and products, to meet market and user needs. With the new development model of large models, the matching between technology and product will become an important consideration factor for product managers.
With the continuous evolution of large models, product managers need to keep thinking about how to combine technologies and products better, to meet market and user needs. And the combination of learning and thinking in large models will also be an important direction to drive the development of large models.
【来源】https://www.geekpark.net/news/329067
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