将使用这个东西而不是普通的GPT - 对不起,但不抱歉GPT)))

📄 中文摘要

随着开源大语言模型(LLMs)的发展,越来越多的用户开始探索替代传统GPT的选项。文章中提到了一些开源LLM的测试平台,如GPT-OSS、Qwen3.5和DeepSeek,这些平台提供了丰富的工具和RAG(检索增强生成)功能,用户可以在无需注册的情况下自由体验。这些新兴的开源技术不仅提升了用户的交互体验,还为开发者提供了更多的创新空间,推动了AI技术的进一步发展。开源LLM的出现标志着AI领域的一个重要转变,用户可以根据自己的需求选择更适合的工具。整体来看,这些技术为AI应用的多样性和可访问性提供了新的可能性。

📄 English Summary

will use this thing instead of plain gpt - sorry but not sorry gpt)))

The development of open-source large language models (LLMs) has prompted users to explore alternatives to traditional GPT. The article highlights testing platforms for open-source LLMs such as GPT-OSS, Qwen3.5, and DeepSeek, which offer a variety of tools and Retrieval-Augmented Generation (RAG) capabilities, allowing users to freely experience these technologies without registration. These emerging open-source technologies not only enhance user interaction but also provide developers with greater innovative opportunities, driving further advancements in AI technology. The emergence of open-source LLMs signifies an important shift in the AI field, enabling users to select tools that better suit their needs. Overall, these technologies present new possibilities for the diversity and accessibility of AI applications.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等