4.ChatGPT推出自定义指令功能 OpenAI为ChatGPT添加了一个名为Custom instructions的新功能,允许用户在系统级别上为聊天机器人定制化一些指令,使机器人更加个性化,并更好地满足用户的需求。避免了用户每次开启新的聊天时都需要对ChatGPT进行调教。 5.随着时间的推移GPT-4变得越来越笨 在经过三个月的评估后,ChatGPT 的...
当你的创建GPTs 角色拥有多种功能时,相比于复杂的文字引导,设置快捷键就显得十分必要。 这个思路,其实最早在 Auto Custom instructions(自定义指令)的设定中见到过,当时没有做深入的延展。 这次,在“100x Engineer” 这个GPTs 的核心指令中又看到了。 把它翻译成中文,大家对比看一下: 当有上面任意一个需求时,用...
建议每个任务完成后都进行一次/save来使ChatGPT记住上下文ustom Instructions and System Prompt Custom Instructions and System Prompt 自定义指令和系统提示 Integrating Synapse_CoR into your Custom Instruction unlocks its full utility. Copy/paste the prompt into the bottom window of your ChatGPT Custom Instru...
AI assistant for refining GPT instructions with a focus on user experience and continuous AI learning. Chat 💬 RustChat Hello! I'm your Rust language learning and practical assistant created by AlexZhang. I can help you learn and practice Rust whether you are a beginner or ... Chat 💬 ...
ChatGPT AutoExpert is ashockingly effectiveset of custom instructions aimed at enhancing the capabilities of GPT-4 and GPT-3.5-Turbo conversational models. These instructions maximize the depth and nuance in responses while minimizing general disclaimers and hand-holding. The ultimate objective is to ...
The difference comes out when the complexity of the task reaches a sufficient threshold—GPT-4 is more reliable, creative, and able to handle much more nuanced instructions than GPT-3.5. To understand the difference between the two models, we tested on a variety of benchmarks, including ...
Educators might also use the chatbot's new"custom instructions" featureto establish general settings and directives for all ChatGPT conversations. Related Stories 5 tips to help manage your back-to-school mental health School uses ChatGPT to determine which books are banned ...
GPTs are custom versions of ChatGPT made by developers and individuals for specific purposes and niche tasks. GPTs can combine instructions, extra knowledge, and any combination of skills. For example, you can use Code Copilot for smarter and faster coding with expertise you wouldn’t normally...
GPT-2使用了一个称为网页数据(WebText)的数据集作为其训练数据,该数据集是从网站Reddit上爬取的大量外链文本组成的,经过了一些简单的数据清洗,并且覆盖了多个领域和主题。论文中指出,大规模的模型需要更多的数据才能收敛,并且实验结果表明,目前的模型仍然处于欠拟合的状态。因此,增加数据量和模型规模是提升语言模型...
这些数据可以包括来自维基百科、Reddit、成千上万本书的档案,甚至是互联网本身的档案。在给定输入文本的情况下,这个学习过程使 LLM 能够对接下来最有可能的单词进行预测,并以这种方式生成对输入文本有意义的响应。最近几个月发布的现代语言模型非常庞大,并且已经在许多文本上进行了训练,以至于它们现在可以直接执行大多数...