GPT-4o vs GPT-4: What's the difference?
Summary
TLDR本周科技界迎来了类似泰勒·斯威夫特演唱会的盛事,众多科技巨头发布了最新产品。OpenAI发布了改进版的Chat GPT模型,免费用户现在也能享受95%的优秀功能,付费计划的吸引力下降。视频中比较了新旧模型的性能差异,展示了新模型在简洁性、友好性和结构化方面的优势。作者推荐大家尝试新模型,无论是不是在L&D领域,都可能成为优秀的助手和教练。视频还提到了新模型的图像识别能力,并宣布自定义GPT在EMA的免费使用。
Takeaways
- 🌟 本周技术社区举办了一场重要的活动,类似于泰勒·斯威夫特的演唱会,大家都在关注世界上最大的技术公司发布的最新产品。
- 🚀 OpenAI,即聊天机器人GPT的创造者,举办了春季更新会议,推出了一个大幅改进的模型,并为免费用户提供了许多出色的功能。
- 🆓 免费用户现在可以获得几乎所有GPT的出色功能,这使得付费计划不再那么吸引人。
- 🔍 视频的重点是展示新旧GPT模型之间的性能差异。
- 💻 API playground是许多开发者使用的平台,用户可以注册使用GPT API进行多种操作。
- 📈 通过API playground展示新模型GPT-4.0与当前最佳模型GPT Turbo的性能对比。
- 📝 视频作者建议非技术人士尝试使用免费版本的GPT,因为它可以作为一个出色的辅导工具和助手。
- 📚 视频作者通过上传一张图表并询问GPT模型来测试它们的性能,比较了新旧模型的输出。
- 📉 旧版GPT在描述图表时存在过度分享的问题,而新版GPT提供了更简洁、友好且结构清晰的输出。
- 🎉 新版GPT在细节和总结方面做得更好,提供了更全面的信息,而不是仅仅部分列表。
- 🔄 视频作者对GPT的新版本感到兴奋,并期待尝试其视觉、音频和语音功能。
- 📲 由于新版本的发布,之前需要付费的定制GPT现在可以免费使用,作者在评论区留下了链接。
Q & A
什么是生成式AI技术,它在技术社区中为什么如此重要?
-生成式AI技术是一种可以创建新内容的人工智能技术,包括文本、图像、音频等。它在技术社区中非常重要,因为它代表了人工智能领域最新的创新和应用,能够极大地推动技术进步和行业发展。
OpenAI是什么,他们最近有什么重要的更新?
-OpenAI是一个致力于开发和研究人工智能技术的组织,他们最近发布了一个春季更新,推出了一个大幅改进的模型,即Chat GPT的新版本,这个新模型为免费用户提供了许多优秀的功能。
新旧版本的Chat GPT模型之间有什么性能差异?
-新版本的Chat GPT模型提供了更加简洁友好的风格和更好的结构,而旧版本的模型则在某些情况下会有过度分享的问题,缺乏清晰的结构。
API playground是什么,它如何被开发者使用?
-API playground是一个开发工具,许多开发者使用它来测试和使用Chat GPT的API。它允许用户进行多种不同的操作,即使非技术背景的人也可以注册使用。
为什么新版本的Chat GPT模型对于免费用户来说更有吸引力?
-新版本的Chat GPT模型为免费用户提供了几乎所有的优秀功能,这使得付费计划相比之下不再那么有吸引力,因为免费用户也能享受到大部分的高级功能。
如何使用Chat GPT API进行图像识别测试?
-用户可以上传一张图片到Chat GPT的API playground,并要求模型描述这张图片所展示的内容。通过比较新旧模型的输出,可以观察到它们在图像识别方面的差异。
在图像识别测试中,新旧模型的输出有什么不同?
-在图像识别测试中,新模型提供了更加简洁、友好的描述,并且给出了更详细的列表,而旧模型则在某些情况下会过度分享信息,缺乏重点。
新版本的Chat GPT模型在哪些方面进行了改进?
-新版本的Chat GPT模型在语言的简洁性、友好性、结构性方面进行了改进,提供了更加清晰和有用的输出,尤其是在处理图像识别和内容总结方面。
OpenAI的新版本Chat GPT模型是否支持视觉和音频能力?
-是的,OpenAI的新版本Chat GPT模型预计将支持视觉和音频能力,这些功能将通过移动应用和Mac应用提供。
如何免费使用定制的GPT进行性能咨询?
-现在任何人都可以免费使用定制的GPT进行性能咨询。有兴趣的人可以通过在视频下方的评论中找到链接来参与。
这段视频脚本的目的是为了什么?
-这段视频脚本的目的是为了展示新旧Chat GPT模型之间的性能差异,并鼓励观众尝试使用新版本的模型,尤其是那些在L&D(学习与发展)领域或对AI技术感兴趣的人。
Outlines
🌟 技术社区的AI新动态
本周,技术社区迎来了类似泰勒·斯威夫特演唱会的盛况,每个人都对世界上一些最大的技术公司的最新发布感到兴奋。在生成性AI技术方面,OpenAI(Chat GPT的创造者)在春季更新会议上推出了一个显著改进的模型,为免费用户提供了许多出色的功能,这使得付费计划不再那么吸引人。免费用户现在可以获得几乎所有的优秀功能,即95%的优秀功能。视频中,作者通过API playground展示了新旧模型GPT 4.0与GPT turbo之间的性能差异。作者询问了关于大型语言模型的问题,并上传了一张图片,要求模型描述图片内容。新模型的回答更加简洁、友好,并提供了更好的结构。作者认为,新版本的Chat GPT是人们尝试使用的最佳模型,无论是在L&D世界还是其他领域,都推荐大家尝试使用。此外,作者还提到了对新模型的语音功能和视觉能力的期待,并邀请观众通过链接参与定制的GPT性能咨询。
📢 结尾提问与互动邀请
视频的结尾部分,作者邀请观众在评论区提出问题,并承诺在下一个视频中进行回答。这表明作者鼓励观众参与互动,并对观众的反馈和问题持开放态度,旨在建立一个积极的交流环境。
Mindmap
Keywords
💡技术社区
💡生成式AI技术
💡OpenAI
💡Chat GPT
💡API Playground
💡GPT 4.0
💡GPT Turbo
💡系统消息
💡用户输入
💡性能差异
💡自定义GPT
Highlights
本周科技社区的盛事堪比泰勒·斯威夫特的演唱会,全球最大的科技公司发布了最新的产品。
OpenAI发布了春季更新,推出了改进版的Chat GPT模型,为免费用户提供了大量功能。
免费用户现在可以获得95%的Chat GPT的优秀功能,使得付费计划不再那么吸引人。
介绍了API playground,这是开发者和非技术用户都能使用的Chat GPT平台。
比较了新旧版本的GPT模型,以展示性能差异。
新版本的GPT提供了更简洁友好、结构更好的回答。
旧版本的GPT在回答时有些过度分享,缺乏结构。
上传了一张图表并让两个模型描述,比较了它们的输出。
旧GPT 4提供了详细的描述和总结,但有些过度解释。
新GPT 4模型的回答更简洁,提供了关键点和详细列表。
新GPT 4模型的回答更有助于下一步的工作考虑。
对新版本GPT的视觉和语音功能表示期待。
现在任何人都可以免费使用定制的GPT进行EMA的性能咨询。
视频旨在帮助理解技术的不同性能改进。
鼓励观众在评论区提出问题。
Transcripts
Hello friends so for the non- Tey people
out there this week for the tech
Community is kind of like a serious
Taylor Swift conferences where everyone
is going crazy on latest releases from
some of the world's biggest tech
companies when it comes to generative AI
technology now you haven't seen
yesterday open AI the creators of chat
GPT had their spring update conference
where they launched a vastly improved
model so they say to chat GPT and loads
of really great capabilities for free
users which actually makes the paid
plans not so enviable anymore and free
users are getting basically all of the
great features I say 95% of the great
features they're available with chat GPT
but what I want to talk about is what is
the performance difference between new
models and old models so what you see on
your screen here is the API playground
on chat GP PT so this is what a lot of
developers use for those of you in the
non kind of tech lingo anyone can use
this you can sign up to use the chat gbt
API and do loads of different things on
here so what I'm showing you on my
screen is two things so I have got the
new model of GPT
40 versus GPT turbo which is the current
best-in-class model until yesterday and
the reason why I'm sharing this is that
I think one the free version of chat GP
right now as I speak is obviously the
best model for people use to experiment
with so whether you're in the L&D world
or not I would definitely recommend that
you check this out and use this
certainly potential use cases in being a
great tutor and assistant and helping
you to coach through skills in
particular but the point of this video
is to kind of look at the incremental
differences between the performance of
the two models and the way that I can do
this is this comparison here so new
version of GPT old version of GPT
basically what you're seeing here is the
system message is what I told the large
language model they were act as so
they're a friendly assistant they're
going to help answer questions with
credible and simple answers the user
input is me as a human asking a question
so just did a really simple one my first
question was explain a large language
model to me as a non-technical person so
from the new version of GPT we can see
that we've got a little bit more of a
succinct Style more of a friendly style
and much better structure than if we
look on the right hand side here with
old kind of GPT and it does what I kind
of call that oversharing piece doesn't
give a lot of structure and I think that
is quite interesting to see that just
using a very natural language input
we're already seeing the slight
differences here in terms of the outputs
which I quite like and then the second
test is I uploaded a image from a recent
report and I just said to each of the
models tell me what this image is
showing so we can compare the outputs
here now I didn't think there was a huge
amount of difference here but it was
definitely some things that I enjoyed
versus the other so on the old GPT 4
what we can see is that you we've got
the description to say where this side
is from what is it showing we have got
all of the structure which is very nice
and we've got a summary here as well
what I didn't like on this side here is
the oversharing piece again so
reaffirming what these components mean
that might be great for some people but
I am not looking for that what I liked
on the new GPT 4 model is again very
succinct very friendly I like the
structure here where it's saying key
areas where AI is not being included it
gave me the full list not just a p of a
list that was here so a bit more detail
which was fantastic and it really hit to
the the key core of that slide and then
what I really liked here is the kind of
a summary but really just some notes
that I can consider and help me out with
any kind of next piece of work that I'm
trying to do so again I'm not using this
from a Content creation perspective very
much looking at this as a full partner
this is a very simple test but gives you
a glimpse into the little nuances and
improvements between the two models of
course there'll be more experimentation
I am very excited to try out more of the
vision capability ities and audio
capabilities or voice capabilities I
should say Via Mobile and the Mac App
what the new releases also mean is that
any of you who were not able to use my
custom GPT for performance Consulting in
EMA can now use that for free so anyone
who wants to engage with that can and
I'll leave a link in the comments below
so look a little bit different than the
usual but I hope that's helpful to
understand the different performance
impr improvements in terms of the
technology that is available today any
questions drop them below and I will
talk to you in the next
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