https://www.youtube.com/watch?v=outcGtbnMuQ&t=3276s&ab_channel=OpenAI
GPT-4 demo, the biggest improvement imo is:
1. support image input; this is the huge part; cause users can draw something, and then ask GPT-4 to generate code or something else based on that.
2. larger memory, from 4k tokens to 32k tokens; it's crucial for analyzing long tax documents and codes. Seems like image input depends on that too.
3. A bit smarter than ChatGPT? Hard to say how much without direct comparison.
GPT-4演示，我认为最大的改进是：
1. 支持图像输入；这是很大的部分；因为用户可以画一些东西，然后让GPT-4根据那个生成代码或其他东西。
2. 更大的内存/记忆，从4k tokens增加到32k tokens。对模型分析长篇的 税务条文，代码等很重要，似乎图像输入也是依靠这个
3. 比ChatGPT稍微聪明一点？没有直接比较很难说有多少。
#AI #openAI #ChatGPT #gpt4 #future
https://openai.com/research/gpt-4
The section “Internal factual eval by category” is about how accurate the generated contents are. Improved from ChatGPT's 40-60% to 60-80%. In order to become a usable tool, this accuracy still needs to go much higher, since human reviews are super expensive.
"Internal factual eval by category" 那个部分是我最关心的地方，就是AI编故事的程度。我使用chatgpt和bing ai的经验都让我觉得他们还远远不能当工具，每当你指正它的时候，大概率它就开始编故事了。这个标准从之前的40-60%准确率到现在60-80%。还是远远不够，不然还是要耗费大量人工审查的精力。
No replies yet.
