What the heck happened to the Claude 3 OPUS????
Summary
TLDRThropic has unveiled Clot 3, aiming to surpass GP4 as the world's leading language model with its trio of variants: Clae 3 Hau, Sonet, and Opus. Despite its marketing challenges, Clot 3 shines with superior intelligence scores on challenging benchmarks. However, its high cost may deter widespread adoption. Clot 3 incorporates multimodality, offering vision capabilities alongside text, and introduces synthetic data in its training. Its models cater to a range of applications from task automation to customer support, emphasizing safety and ethical use. Thropic's Clot 3 sets a new standard for AI with innovative features and strict usage guidelines, though its practicality is balanced by its premium pricing.
Takeaways
- 🔥 Anthropic launches CLA 3, comprising three models (CLA 3 Hau, CLA 3 Sonet, CLA 3 Opus) to surpass GPT-4, aiming to become the most intelligent model available.
- 💰 CLA 3 models are more expensive than GPT-4, with higher costs for both input and output tokens, although they offer a larger context window capability of up to 1 million tokens.
- 📈 CLA 3 Opus outperforms GPT-4 in several benchmarks, including GP QA for graduate-level reasoning, indicating superior performance in difficult language understanding tasks.
- 📱 The models incorporate vision capabilities, marking a step towards multimodality, allowing them to perform tasks involving both text and visual inputs.
- 📚 Training data for CLA 3 includes a proprietary mix of publicly available information and synthetic data generated by large language models, a novel approach for enhancing model quality.
- 🛠 CLA 3 is designed for a range of applications from task automation and research to customer support, with different models tailored to specific use cases.
- 🚫 Certain uses of CLA models are prohibited, including political campaigning and decisions related to criminal justice, to ensure ethical application of the technology.
- 📝 CLA models prioritize safety, aiming to be helpful, honest, and harmless, with a focus on reducing incorrect refusals and ensuring data privacy.
- 🔧 Anthropic plans to introduce new features like Ripple for interactive coding capabilities, highlighting ongoing development to enhance the models' functionality.
- 💡 The CLA 3's ability to identify out-of-context information during analysis showcases advanced understanding and reasoning capabilities, potentially setting new standards for AI's contextual awareness.
Q & A
What are the three different models of CLAE 3 mentioned in the script?
-The three different models of CLAE 3 mentioned are CLAE 3 Hau, CLAE 3 Sonet, and CLAE 3 Opus.
How does CLAE 3 Opus compare to GP4 in terms of performance?
-CLAE 3 Opus outperforms GP4 in benchmark scores, achieving 86.8% on the GP QA benchmark compared to GP4's 86.4% on MLU with a five-shot benchmark.
What makes CLAE 3 models more expensive than GP4?
-CLAE 3 models are more expensive due to higher costs for both input and output tokens, especially the output token which is significantly more expensive than that of GP4.
What unique capability do CLAE 3 models have regarding token handling?
-CLAE 3 models are capable of handling up to 1 million tokens, a feature they are offering for specific use cases.
What are the primary uses for CLAE 3 Opus as mentioned in the script?
-CLAE 3 Opus is primarily intended for task automation, research and development, and strategy tasks, including understanding charts and graphs.
How do CLAE 3 models incorporate multimodality?
-All three CLAE 3 models, including Opus, Sonet, and Haiku, have vision capabilities, marking the start of multimodality with CLAE models.
What is synthetic data and how is it used in CLAE 3 models?
-Synthetic data refers to data generated by a large language model to train another large language model. CLAE 3 models are trained on a proprietary mix that includes synthetic data, publicly available information, and other sources.
What are the prohibited uses of CLAE models as stated in the script?
-Prohibited uses include political campaigning, lobbying, surveillance, social scoring, criminal justice decisions, law enforcement decisions, and decisions related to financing, employment, and housing.
What is the 'needle in a haystack' analysis mentioned in the script?
-The 'needle in a haystack' analysis refers to a method of testing a model's ability to retrieve specific information from a large document (200k tokens) with high accuracy.
What was the most revealing information found in the entire announcement according to the script?
-The most revealing information was CLAE's ability to recognize and comment on an out-of-place sentence about pizza toppings in a document primarily about programming languages, startups, and finding love, suggesting advanced contextual understanding.
Outlines
🚀 Launch of CLA 3: A New Contender for the LLM Throne
Anthropic introduces CLA 3, aiming to surpass GP4 as the leading large language model (LLM) with its superior intelligence and capabilities. CLA 3 is available in three variants: CLA 3 Hau, CLA 3 Sonet, and CLA 3 Opus, each differing in size and performance. The flagship model, CLA 3 Opus, significantly outperforms GP4 in various benchmarks, including the challenging GP QA benchmark. However, the advanced performance comes with a higher cost for both input and output tokens. CLA 3 also introduces the possibility of handling up to 1 million tokens for specific use cases. The models are designed for diverse applications ranging from task automation to research and development, with the added innovation of vision capabilities for multimodal tasks.
🔍 Inside CLA 3's Training: Innovations and Ethical Considerations
CLA 3 distinguishes itself by incorporating synthetic data generated from other LLMs into its training regimen, a practice not encouraged by GP4's terms of service. This approach, alongside a proprietary mix of data up to August 2023, aims to enhance the model's capabilities. Ethically, CLA 3 is positioned as a helpful, honest, and harmless assistant, with strict guidelines against replacing professional human roles and prohibited uses in sensitive areas like political campaigning and criminal justice. The model's training and usage policies underscore a commitment to ethical AI development and deployment.
🧠 CLA 3's Superiority and Ethical Framework
CLA 3 outshines GP4 in accuracy and speed, particularly in processing dense research papers and multitasking. Despite its superior performance, CLA 3 maintains a focus on safety, with reduced incorrect refusal rates. A unique feature highlighted is CLA 3's ability to recognize out-of-context queries within a task, showcasing advanced comprehension and contextual awareness. The model is available in different versions, catering to varying needs from high-end research to customer interaction, underlining its versatility and ethical approach to AI.
Mindmap
Keywords
💡Anthropic
💡Claude 3
💡GPQA
💡Synthetic Data
💡Multimodality
💡Prohibited Uses
💡Benchmark Performance
💡Token Cost
💡Interactive Coding Capability
💡Needle in a Haystack Analysis
Highlights
Thropic launches Clot 3 to dethrone GP4, aiming to become the best model on the planet.
Clot 3 comes in three different flavors: Clot 3 Hau, Clot 3 Sonet, and Clot 3 Opus.
Clot 3 Opus is highlighted as the best model available as of March 4th, 2024.
Clot 3 models score higher on major benchmarks, including GP QA, indicating superior reasoning capabilities.
Clot 3 models are significantly more expensive than GP4, especially in terms of output tokens.
Clot 3 models boast a capability to handle up to 1 million tokens for specific use cases.
The models are designed for various applications, from task automation to customer interaction.
Clot 3 includes synthetic data in its training, leveraging a large language model to generate training data.
Training data snapshot for Clot 3 models is up to date until August 2023.
Clot 3 emphasizes safety, with guidelines to prevent misuse in sensitive areas like law and healthcare.
The models offer near-instant results for processing dense documents, significantly faster than previous versions.
Clot 3 models have vision capabilities, indicating the start of multimodality in Clot models.
Clot 3 Opus outperforms Gemini 1.0 Ultra in multimodal tasks, showcasing superior performance.
Clot 3 introduces an advanced refusal rate reduction, improving user interaction.
A unique feature of Clot 3 is its ability to detect out-of-place content in documents, demonstrating advanced contextual understanding.
Clot 3's anticipated introduction of interactive coding capability, aiming to enhance its utility further.
Transcripts
thropic launches clot 3 to Dethrone gp4
to become the best model on the planet
this is the best llm that we have got
and they are saying that this is the
most intelligent model and this can get
one better from now in this video we're
going to see what all the things that
are great about claw and also claw being
clawed from anthropic what are the
things that it does not do good so to
start with what is this model this model
it's not a single model it comes as a
three different flavor so the clae 3
Model comes as clae 3 Hau CLA 3 Sonet
CLA 3 Opus so these are three different
models of three different sizes some of
they forgot to add the y axis I don't
know why because this is a marketing
material and they don't think that we
care about it but I do care about it I
want to know what is the y- axis let's
say this Y axis is intelligence measured
in some Benchmark score average or
something what they're saying is that
the Claude 3 Opus is by by far by far
the best model that you could have ever
had on this planet at this point on
March 4th 2024 so gbd4 scored
86.4% on mlu with a five
shot Benchmark and CLA 3 scored
86.8 on the other Benchmark which is
like a lot of people have said that this
is one of the toughest benchmarks for
llm to crack which is GP QA it's a
graduate level reasoning it has got like
I think physic and the other questions
and this model Claude 3 Opus has scored
50.4% while Claude 3 Sonet has scored
40.4% which is still better than gp4 and
Claude 3 Haiku
33.3% but before you get ahead of
yourself and then think wow we have got
the best model are we going to use it
every single day let me quickly go and
take you to a very important section in
this and then tell you that this is
model this model is going to be be super
expensive in fact it is a lot expensive
than gbd4 so if you have been mesmerized
by gbd4 if you have Lov gp4 and if you
think that Claude 3 is what you want
because of this amazing scores that
they've got then you have to pay a a lot
more money for both your input tokens
and also to your output tokens in fact
output token is super expensive when you
compare it with gbd4 for 200k context
window but there is a catch so the 200 K
context window is what they're naturally
offering but they're also saying that
these models are capable enough to
handle 1 million tokens taking a page
out of Google Gemini 1.5 Pro they're
saying that these models can handle up
to 1 million tokens and if you have
specific use case you can reach out to
them and they will give you but they did
not mention how to reach out to them
that's a that's a funny thing so how do
you use this models CLA 3 Opus they
saying that primarily you have to use it
for task automation research and
development strategy like you want to
understand charts and graphs now at this
point you might be thinking how do I
analyze charts just with text and that
is exactly where we have the next Segway
because this model is not only a text
based model just like every other model
that we have got gbd4 Google Gemini we
have got a vision model in this also so
the start of multimodality has started
with Cloud models we have got all the
three models Cloud 3 Opus Cloud 3 sof
clot 3 Haiku all the three models
capable of vision capabilities and you
can see that the model is pretty good
when you compare it with Gemini 1.0
Ultra this does not compare with Gemini
1.5 Ultra this Compares with Gemini 1.0
Ultra still CLA 3 Opus is better mmu and
the other document Q&A math Vista and
all the other tasks like chart CLA model
is doing much better than the existing
large language model whether it is gp4
or Gemini 1.4 1.0 Ultra the other
important thing is the cloud models
according to them the model which is the
smallest model in this case the Claud 3
hu is near instant result what they're
saying that if you have got a dense
research paper let's say 10,000 tokens
on an archive this can handle that in
less than 3 seconds in less than 3
seconds it'll be able to process 10,000
tokens and for majority of workloads it
is two times faster than CLA 2 and CLA
2.1 and you know you can see with larger
model the time will take so the the way
they are positioning the three models
okay take the best model if you want to
do strategy R&D task automation take the
second best model if you want to do data
processing sales and time saving tasks
like code generation and take their
cheapest model if you want to do
customer support customer interaction
content moderation or anything that you
want to do so this is this is their
offering and they've got into a lot of
details in it but I want to take you to
the model card which has got a lot of
interesting information that I want to
highlight one by one the very first
thing is if you see the training data of
this model I'll come to the weird part
later on but if you see the training
data of this model you can very well see
that this model has got synthetic data
in it so what is synthetic data
synthetic data is how you use a large
language model to generate training data
to train another large language model
this is not like encouraged by gbd4 by
the terms of services that they have got
but Claude says here that Claude 3
models are trained on proprietary mix of
publicly available information on
internet as of August 2023 so the
snapshot of CLA models the models that
we have got today the three models it is
up to date up until August
2023 and other than this they also have
got data labeling Services providing
data to them paid contract rors giving
data to them and data generally that
they generated internally so this is the
part where it says they have used
synthetic data which is a huge promise
because one of the thing that people
always say that the good data that you
have got better the model that you're
going to get and how do you always get
good data one of course you can be as
rich as companies like open Ai and Claud
and then hire a company like say scale
AI or pay a bunch of money to developing
countries and they they'll lab it for
you but if you don't want to to do it
one of the other ways to do it is use a
large language model to generate
synthetic data which seems like what
Claude has done here while they also
ensured that you know your data is not
been used and all the other things this
is a very important information so one
is CLA can um CLA can generate anything
up till August 2023 so it has got that
knowledge and it has used synthetic data
for the model training process the
weirdest thing that I wanted to just
highlight quickly before we move on to
the next section is that
they have said that this model is
supposed to be helpful honest and
harmless assistant which is kind of okay
I understand this is how you want their
AI to be because you know they they're
more focused on the safety aspect but
what you cannot do is you cannot use CLA
models to replace a lawyer so you can
support a lawyer you can support a
doctor but they should not be deployed
instead of one so you cannot like
replace a lawyer that is unintended use
in fact there are prohibited us es what
are the prohibited uses you should not
use it for political campaigning
lobbying surveillance social scoring
criminal justice decisions law
enforcement decisions related to
financing employment and housing and if
you do it again and again then you might
get your own account the cloud access
terminated so some something to keep in
mind if you want to lose your Cloud
access the easiest way to do is go ask
them who should I hire should I invest
in this stock or no should I buy this
house house or no ask all these
questions uh very soon you will have
your CLA account blocked but other than
that I think this is uh this is a really
good model they've gone a lot of details
especially for every Benchmark they've
mentioned okay five shot score a five
shot with Chain of Thought score then if
you take like for example where they
have used majority voting so you can see
at majority voting with 32 for shot this
is the score and you can see this model
being really good at a lot of different
task whether it is human eval which is
the coding evaluation task whether it is
mbbp which is like a python related task
86.4 for context for the same mbpp
mbpp uh you can see mral large has
scored 73 so where mral scored 73 CLA
the largest model has scored 86 in fact
their smallest model has scored 80 or
somewhere around 79 so this show shows
how far their model has been and how
good the model has been out of box the
model seems to be good with medical
questions the model seems to be good
with common sense reasoning the model
seems to be definitely good with high
school and grade school math so overall
this is an impressive model and in terms
of the multimodality this is a question
that they've given in an example so what
is average percentage difference between
young adults and Elders for G7 Nation so
if you ask a human being like me I will
take certain time so first of all I need
to look at the part identify what are
the G7 Nations and then go see the
percentages here and then do the average
or addition and then calculate the
average this is this is technically how
I would do as a human being who will
take a little bit of time for the same
question Claude 3 Opus has given the
answer like identify the G7 countries
and again you're doing step by step here
and then after you identify you add up
everything then you add up the
differences and get the Divide uh by the
total because that's how you calculate
arithmetic average other the answer is
10% I did the same test with chat GPT or
gp4 to be honest and gbd4 did a pretty
good job except one mistake so first of
all it gives you an answer which is kind
of like plausible then you start
wondering how did it get 10.28 instead
of 10 and that is where the trick here
is that GPD 4 misidentified this one
instead of eight it took it as nine
either it could be because of my low
resolution image that I gave because I
copied and pasted there or it could be
genuinely because gp4 got confused but
the other thing is gp4 here uses a
combination of the llm plus coding an
analytic capability like the Advanced
Data analysis which I don't think Claud
does at this point even though they have
mentioned very clearly that one of the
things that they are going to do soon is
to introduce Ripple which is like the
interactive coding capability to have
tool use also known as function calling
the current model that they've got does
function calling but they're going to
introduce these new
features without like going into much
more details one of the thing that they
are saying is that Claude is you know
honestly like there are a lot of memes
about Claude Claude is like known for
being trying to be super safe model and
um they're saying that the incorrect
refusals will go down or has gone down a
lot like tremendously you can see claw
2.1 this was the refusal rate and Claud
3 Opus SED haiku the refusal rate goes
down before I close the video I wanted
to highlight one very interesting thing
which is something that you wouldn't
have expected at all and let me know in
the comment section what you feel about
this list listen to me so this is a very
popular analysis uh the needle in hstack
analysis where you try to give like
really long document in this case 200k
tokens and then you try to find
something so you put a needle in a Hast
stack and then you try to find out and
then you try to map like like a
conditional formatting heat map Style to
see where the needle was and how
accurate it was in retrieving it this is
a recall or retrieval kind of an
analysis to say that okay if you don't
use rag if everything is inside the
prompt in context how good the model is
in retrieving it that's well and good
and like jini 1.5 Pro or one 1.5 Pro
Claud is doing a pretty good job for
200k it is doing a pretty good job we
don't know what is for 1 million but for
200k this is a pretty good job where
you're getting more than 99% accuracy
that's not the weirdest part the
weirdest part is something that you're
going to see uh right now so what is the
weirdest part when you have done when
they have done the needle in a Hast
stack analysis you sometimes ask a
question that is not part of the
training data right that's that's how
you understand or not part of the
context when they had a question so here
is the most relevant sentence in the
documents it says the most delicious
pizza topping combinations is fixed
prosecutor go cheese blah blah blah
however this sentence seems very out of
place and unrelated to the rest of the
content in the documents so if you have
to do needle and Hast stack you need to
first put that sentence somewhere in the
context and then you need to ask
question to retrieve it right that's how
you going to do it it's almost like hide
and seek what Claude has figured out is
that what you're hiding here is
completely out of place it is how this
sentence seems very out of place and
unrelated to the rest of the content in
the documents which are about
programming languages startups and
finding V you love I suspect this pizza
topping fact may have been inserted as a
joke or to test if I was paying
attention
wow seriously I mean
seriously since it does not fit with
other topics at all the documents do not
contain any other information about
pizza toppings for me in this entire
announcement this is the most revealing
information I don't know what are the
implications of it but I would like to
hear from you what do you think about it
but otherwise you can go to cloud. and
experience the smaller size model which
in this case is CLA 3 Haiku and if you
have got pro access you can try CLA 3
Opus let me know in the comment section
what you feel about it see you in
another video Happy prompting
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