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Open AI Quietly Released a Better ChatGPT Version Surprising Users
High tech & Ai world
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8/20/2024
Open AI recently upgraded ChatGPT with a new version called GPT-4o latest making It faster and more accurate,though they announced it quietly.
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00:00
If you've been feeling like your AI buddy's been acting a bit different lately, maybe
00:06
quicker, sharper, and just a tad smarter, you're not alone.
00:10
OpenAI has been sneaky, rolling out some major changes without a big announcement.
00:15
But don't worry, I've got all the details you need to know right here.
00:18
So let's talk about it.
00:20
Last week, I started noticing that ChatGPT felt different.
00:23
It was like the responses were more on point, faster, and just generally better.
00:28
I wasn't the only one either.
00:30
People all over social media were talking about how ChatGPT seemed to be upgraded.
00:34
But here's the thing, OpenAI didn't say a word about it at first.
00:38
It was all very hush-hush until they finally dropped a little bombshell on us.
00:42
OpenAI took to X to casually mention that they'd slipped in a new version of their
00:48
GPT 4.0 model into ChatGPT.
00:51
So they just updated the model we've all been using without making a big deal about
00:55
it.
00:56
The message was simple.
00:57
We've had the GPT 4.0 model out in ChatGPT since last week.
01:00
Hope you all are enjoying it and check it out if you haven't.
01:03
We think you'll like it.
01:04
That's it.
01:05
No fancy press release.
01:06
No grand unveiling.
01:07
Just a tweet.
01:08
Typical OpenAI, right?
01:09
Now, if you're wondering what's so special about this new model, let's break it down.
01:13
The updated version of GPT 4.0, which they're calling ChatGPT 4.0 Latest, is essentially
01:19
a fine-tuned and optimized version of what we had before.
01:23
But here's where it gets interesting.
01:24
While OpenAI hasn't spilled all the beans, there's a lot of speculation about what
01:28
this new model actually is.
01:31
Some people out there are thinking this might be part of a bigger strategy by OpenAI to
01:36
release different sized models, kind of like what Google and Anthropic are doing.
01:41
There's been talk about a GPT 4.0 Large and some think this latest update could be
01:47
a stepping stone in that direction.
01:49
But I'm not totally sold on that idea because let's be real, if it were a brand new model,
01:53
they probably would have hyped it up a lot more.
01:55
So what can this new model do?
01:57
Well, from what I've seen and what others have reported, it's performing better on tasks
02:01
that require complex reasoning and creativity.
02:04
Like if you've been asking ChatGPT to help with coding or solve tricky problems, you
02:08
might've noticed it's just a little bit sharper now.
02:11
It's also faster, which is a nice bonus, but of course it's not perfect.
02:15
There are still some weird quirks.
02:17
For example, in one test, the model was asked to stack a book, nine eggs, a laptop, a bottle,
02:23
and a nail in a stable manner.
02:25
The solution, it suggested putting nine eggs on top of a bottle.
02:28
I mean, come on, who does that?
02:30
And then when it was asked how many R's are in the word strawberry, it came back with
02:35
two, which is definitely wrong.
02:37
So yeah, there are still some bugs to work out, but overall the update is a step in the
02:41
right direction.
02:42
Now, talking about strawberry, let's talk about something that's been generating a lot
02:46
of hype, Project Strawberry.
02:48
The idea behind Project Strawberry is that it could be a new post-training method that
02:52
boosts the model's reasoning skills.
02:54
Some people are even saying that the improvements we're seeing in ChatGPT might be the first
02:59
signs of this mysterious project in action.
03:01
One of the coolest things about the new ChatGPT 4.0 latest model is how it handles multi-step
03:06
reasoning.
03:08
This basically means the AI isn't just jumping to conclusions, it's thinking things through
03:12
step-by-step before it gives you an answer.
03:15
That's a pretty big deal because it leads to more accurate and thoughtful responses,
03:19
which is something we all want, right?
03:22
The new model has already made waves in the AI community, especially in something called
03:26
the LMSYS leaderboard.
03:28
Now, if you're not familiar with it, the LMSYS leaderboard is like the Olympics for AI models.
03:34
They put different models head-to-head in all sorts of tasks.
03:37
And the new ChatGP 4.0 latest model just crushed it.
03:40
It scored a whopping 1314 points, which is the highest score ever recorded on that leaderboard.
03:45
This means it's outperforming some of the biggest names in the game, like Google, Anthropic
03:50
and Meta.
03:51
Now, if you're thinking, how do I get my hands on this new model?
03:54
Well, it's super easy.
03:56
OpenAI has already swapped out the old GPT 4.0 with the new version in both the ChatGPT
04:01
website and app.
04:02
So all you have to do is fire up ChatGPT and you're good to go.
04:06
If you're on the free plan, you might hit some message limits, but for those of you
04:10
who are on the plus plan, you can push the model to the limit and really see what it
04:14
can do.
04:15
Also, if you're not ready to shell out the $20 a month for the plus plan, you can still
04:19
get a good feel for the new model before you hit those limits.
04:23
And then if you run out of messages, you can switch over to GPT 4.0 mini.
04:27
It's not quite the same, but it's still pretty powerful.
04:30
Also, one more really interesting thing is how OpenAI has been testing these updates.
04:35
They've been sneaking experimental models into places like the LMSYS chatbot arena under
04:40
random names.
04:41
So people don't even realize they're testing new tech.
04:43
The ChatGPT 4.0 latest model, for example, was tested under the name Anonymous Chatbot,
04:49
and it got over 11,000 votes from users.
04:52
That's a lot of people unknowingly helping out with the testing, which just goes to show
04:56
how clever OpenAI's approach is.
04:58
So what's next?
04:59
Well, if this update is anything to go by, we can expect OpenAI to keep refining and
05:02
improving ChatGPT.
05:04
They're clearly focused on making it better at reasoning, creativity, and all those tasks
05:08
that require a bit more brainpower.
05:10
And who knows?
05:11
Maybe we'll see even more of Project Strawberry in the future.
05:13
All right, now I also want to talk about a new AI model that just came out, but it didn't
05:18
really get the attention it deserves.
05:20
This model, called Falcon Mamba 7B, was released by the Technology Innovation Institute, TII,
05:26
in Abu Dhabi.
05:27
TII is known for working on cutting-edge technologies like AI, quantum computing, and robotics,
05:33
and now they've dropped this new model.
05:36
It's available on Hugging Face, and it's an open-source model, which is pretty cool.
05:40
But what really sets it apart is the new architecture it's using.
05:43
Most of us are familiar with transformer models, which have been dominating the AI scene for
05:48
a while now, but Falcon Mamba 7B uses something different, called the Mamba State Space Language
05:54
Model, SLM architecture.
05:56
This new approach is quickly becoming a solid alternative to those traditional transformer
06:01
models.
06:02
Now, why is this important?
06:03
Well, transformers are great, but they have some issues, especially when it comes to handling
06:07
longer pieces of text.
06:09
You see, transformers use an attention mechanism that looks at every word in a text, and compares
06:15
it to every other word to understand the context.
06:17
But as the text gets longer, this process demands more and more computing power and
06:22
memory.
06:23
If you don't have the resources to keep up, the model slows down and struggles with
06:26
longer texts.
06:28
This is where SSLM comes in.
06:30
Unlike transformers, SSLM doesn't just rely on comparing words to each other, instead
06:35
it continuously updates a state as it processes the text.
06:39
This means it can handle much longer sequences of text without needing a ton of extra memory
06:44
or computing power.
06:45
Now, Falcon Mamba 7B uses this SSLM architecture, which was originally developed by researchers
06:51
at Carnegie Mellon and Princeton Universities.
06:53
What's cool about this model is that it can dynamically adjust its parameters based on
06:57
the input so it knows when to focus on certain parts of the text and when to ignore others.
07:02
So, how does Falcon Mamba 7B stack up against the big players like Metas Llama 3.8b, Llama
07:08
3.18b, and Mistral 7B?
07:11
TII ran some tests, and the results are pretty impressive.
07:14
In terms of how much text the model can handle, Falcon Mamba 7B can fit larger sequences than
07:20
the transformer models using just a single 24GB A10 GPU.
07:26
This means it can theoretically handle infinite context length if you process the text token
07:31
by token or in chunks.
07:33
And again, Falcon Mamba 7B came out on top.
07:35
It beat Mistral 7B's sliding window attention architecture by generating all tokens at a
07:40
constant speed without any increase in memory usage.
07:43
That's a big deal for anyone working with large-scale AI tasks because it means the
07:46
model is both fast and efficient.
07:49
Even when it comes to standard industry benchmarks, Falcon Mamba 7B holds its own.
07:54
In tests like ARC, TruthfulQA, and GSM 8K, it outperformed or matched the top transformer
08:00
models.
08:01
There were a couple of benchmarks, like MMLU and Heliswag, where it didn't quite take
08:05
the lead, but it was still right up there with the best of them.
08:09
But here's the thing.
08:10
This is just the beginning for Falcon Mamba 7B.
08:13
Tiichu has big plans to keep optimizing the model and expanding its capabilities.
08:18
They're not just stopping at SSLM, they're also pushing the limits of transformer models
08:22
to keep driving innovation in AI.
08:24
So if you're into AI or just curious about what the future holds, keep an eye on Falcon
08:29
Mamba 7B.
08:30
It's already making a name for itself, and with TII's continued efforts, it's only going
08:35
to get better.
08:36
Plus, with over 45 million downloads of their Falcon models, TII is proving that they're
08:41
a major player in the AI world.
08:43
Alright, if you found this interesting, make sure to hit that like button, subscribe, and
08:48
stay tuned for more AI insights.
08:50
Thanks for watching, and I'll catch you in the next one.
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