CLAUDE 3 Just SHOCKED The ENTIRE INDUSTRY! (GPT-4 +Gemini BEATEN) AI AGENTS + FULL Breakdown
Summary
TLDRAnthropic's release of Claude 3, a new generation AI model, has taken the tech world by surprise. The model, including its variants - Claude 3 Hi, Cou, and Opus, outperforms existing AI models across various benchmarks, showcasing near-human comprehension and advanced capabilities in analysis, forecasting, and multimodal tasks. With its sophisticated vision capabilities and reduced refusals, Claude 3 is set to redefine the standards for AI intelligence and user interaction, offering a range of applications from complex problem-solving to language learning and content creation.
Takeaways
- 🚀 Anthropic released the next generation AI model, Claude 3, which outperforms all other models on benchmarks.
- 🌟 Claude 3 includes three models: Hi, Cou, and Opus, with Opus being the most intelligent and capable of near-human comprehension.
- 📈 Claude 3 models show increased capabilities in analysis, forecasting, content creation, and conversing in non-English languages.
- 📊 Claude 3 Opus surpasses GPT 4 and Gemini Ultra 1.0 in benchmarks, nearing 100% accuracy in some categories.
- 💡 The qualitative aspect of AI performance is highlighted, emphasizing user experience and satisfaction with the model.
- 👀 Claude 3 models possess new vision capabilities, allowing them to process various visual formats and assist enterprise customers.
- 🔍 A demonstration shows Claude 3 Opus performing complex, multimodal analysis and generating sub-agents for parallel task processing.
- 📝 Claude 3 models have improved accuracy and reduced refusals, offering more nuanced understanding and better user interaction.
- 🔥 The release of Claude 3 signifies a rapid evolution in AI, with new models quickly surpassing previous state-of-the-art systems.
- 📚 The potential use cases for Claude 3 models are vast, including task automation, interactive coding, data processing, and language learning support.
Q & A
What is the name of the new AI model released by Anthropic?
-The new AI model released by Anthropic is called Claude 3.
How many new models were released as part of the Claude 3 family?
-Three new models were released as part of the Claude 3 family: Claude 3 Hi, Claude 3 Coup, and Claude 3 Opus.
What sets Claude 3 Opus apart from other AI models?
-Claude 3 Opus is considered the most intelligent model, outperforming its peers on various evaluation benchmarks for AI systems, including undergraduate and graduate level expert knowledge and reasoning.
What are some of the capabilities of the Claude 3 models?
-The Claude 3 models show increased capabilities in analysis and forecasting, nuanced content creation, and conversing in non-English languages such as Spanish, Japanese, and French.
How does Claude 3 Opus perform on benchmarks compared to GPT 4 and Gemini's 1.0 Ultra?
-Claude 3 Opus surpasses both GPT 4 and Gemini's 1.0 Ultra on benchmarks, showing higher percentages in categories like common knowledge, SWAG, and other tasks.
What is the significance of the multimodal capabilities of the Claude 3 models?
-The multimodal capabilities allow the Claude 3 models to process a wide range of visual formats, including photos, charts, graphs, and technical diagrams, making them effective at tasks beyond just text.
How does Claude 3 Opus handle complex tasks like analyzing the world economy?
-Claude 3 Opus can use tools like web view and Python interpreter to analyze data, create plots, perform statistical analysis, and even dispatch sub-agents to complete complex tasks in parallel.
What improvements have been made in the Claude 3 models regarding refusals?
-The Claude 3 models show a more nuanced understanding of requests and refuse to answer harmless prompts much less often than previous generations, reducing unnecessary refusals.
What are the potential use cases for the different Claude 3 models?
-Opus is for task automation and complex actions, Sonet is for data processing and sales recommendations, and Haiku is for customer interactions, quick support, and content moderation.
How does the recall accuracy of Claude 3 Opus compare to other models?
-Claude 3 Opus has near-perfect recall accuracy, surpassing 99%, and can identify limitations in the evaluation process itself.
What is the context window offered by the Claude 3 models at launch?
-The Claude 3 models initially offer a 200k context window, but they are capable of accepting inputs exceeding 1 million tokens for enhanced processing power.
Outlines
🚀 Introduction to Claude 3 AI Models
The script introduces the release of the next generation AI model, Claude 3, which has surprised the AI community by outperforming other models on benchmarks. It highlights three new models within the Claude 3 family: Claude 3 Hi, Claude 3 C爪, and Claude 3 Opus, with increasing intelligence and cost. The Opus model is particularly noted for its state-of-the-art intelligence, surpassing other AI models in various evaluations, including expert knowledge and reasoning, mathematics, and non-English language capabilities.
🌟 Claude 3's Multimodal and Vision Capabilities
The script discusses the multimodal capabilities of the Claude 3 models, which include sophisticated vision capabilities. It emphasizes the excitement for enterprise customers, as the models can process various visual formats and have been trained on tool use. A demonstration is provided where Claude 3 Opus analyzes the US GDP trends, creating a markdown table and a plot of the data with high accuracy. The model also performs statistical analysis and Monte Carlo simulations, showcasing its advanced capabilities.
🤖 Sub-Agents and Complex Analysis
The script explores the concept of sub-agents in the Claude 3 models, which allows the model to break down complex tasks into sub-problems and delegate them to other versions of itself. This feature is demonstrated through an analysis of the world economy, where the model generates a prompt for other models to follow, leading to a comprehensive analysis and prediction of GDP changes across major economies. The script also touches on the potential for AI models to learn from their predictions as they come true.
📚 Haiku Model and Document Processing
The script introduces the Haiku model, which is highlighted for its speed and affordability. It demonstrates the model's ability to process thousands of scanned documents from the Library of Congress Federal Writers Project, transcribing and understanding the content. The model can also generate structured JSON output with metadata, offering potential applications for organizations with extensive archives of scanned documents.
🗣️ Sonnet as a Language Learning Partner
The script showcases the Sonnet model's ability to act as a language learning partner. It describes a scenario where the model helps improve Spanish language skills by correcting messages, providing ideal learner messages, and engaging in conversation. The model can also create quizzes based on the discussion, aiding in language learning. The script also mentions improvements in the new generation of models, such as reduced refusals and improved accuracy.
📈 Claude 3 Model Comparison and Potential Use Cases
The script compares the three Claude 3 models, highlighting their unique features and potential use cases. Opus is noted for its highest intelligence, Sonet for its balance between intelligence and cost, and Haiku for its speed and low cost. The script emphasizes the state-of-the-art nature of the Claude 3 models and their potential to surpass other AI systems, inviting users to test and explore the capabilities of these new models.
Mindmap
Keywords
💡Anthropic
💡Claude 3
💡Benchmarks
💡Multimodal
💡Sub-agents
💡API
💡General Intelligence
💡Context Window
💡Recall Accuracy
💡Vision Capabilities
💡Latency
Highlights
Anthropic released the next generation of AI models, Claude 3, which outperforms all other AI models on benchmarks.
Claude 3 family includes three models: Claude 3 Hi, Cou, Law, and Opus, with increasing intelligence and cost.
Claude 3 Opus is the most intelligent model, exhibiting near-human levels of comprehension and fluency on complex tasks.
Claude 3 models show increased capabilities in analysis, forecasting, content creation, and conversing in non-English languages.
Claude 3 Opus surpasses GPT 4 and Gemini's 1.0 Ultra on benchmarks, setting a new standard for AI intelligence.
Claude 3 models have sophisticated vision capabilities, processing various visual formats like photos, charts, and diagrams.
Claude 3 Opus can perform complex, multi-step, multimodal analysis, including creating sub-agents to handle complex tasks.
Claude 3 models have improved accuracy and reduced refusals, showing a more nuanced understanding of requests.
Claude 3 Opus has near-perfect recall accuracy, surpassing 99% in certain cases.
Claude 3 models can accept inputs exceeding 1 million tokens, offering enhanced processing power for long context prompts.
Claude 3 Sonet is designed for high endurance in large-scale AI deployments, offering strong performance at a lower cost.
Claude 3 Haiku is the fastest and most cost-effective vision-capable model, ideal for quick responses and seamless AI experiences.
Claude 3 models are expected to enable citations, allowing them to point to precise sentences and reference material for verification.
The release of Claude 3 signifies rapid evolution in the AI space, with new models quickly surpassing previous benchmarks.
Anthropic's team has developed a state-of-the-art AI system that is expected to have significant implications for various industries.
Transcripts
so something actually shocking did
happen in AI today and that was
anthropic release of the next generation
of Claude Claude 3 now this was a model
that took Everyone by surprise because
it beats every other AI model across the
board on the main Benchmark so without
wasting any more time let's get into the
meat of this release so you can see here
that they actually released three new
models and in the clae 3 Model family
there is Claude 3 hi coup claw 3 Sonet
and Claude 3 Opus and essentially you
can see as the models increase in
intelligence the cost does go up quite
slightly but these three different
models are very very fascinating and
later on in the video I'll show you how
they all differ and how Claude 3's Opus
the one right here how this model is
smarter than any other AI currently
available making it state-ofthe-art you
can see that they said a new standard
for intelligence Opus are most
intelligent model model outperforms its
peers on most of the common evaluation
benchmarks for AI systems including
undergraduate level expert knowledge
graduate level expert reasoning basic
mathematics and more it exhibits near
human levels of comprehension and
fluency on complex tasks leading the
frontier of general intelligence all
Claude 3 models show increased
capabilities in analysis and forecasting
nuanced content creation C generation
and conversing in non-english languages
like Spanish Japan Japanese and French
and now this is where we actually get to
the crazy benchmarks because you're
about to see something that surprised me
and caught me off guard these benchmarks
are actually quite shocking you can see
that clae 3 their most powerful model
Opus actually surpasses the other
state-of-the-art models you can see that
GPT 4 and Gemini's recently released 1.0
Ultra actually I wouldn't say pale in
comparison to the new model but they
actually do get surpassed on these bench
marks clearly you can see here that the
undergraduate level knowledge the MML U
is at
86.8% compared to the other models it is
beaten and what's crazy is that we can
see that on the left across the board
this is excelling at every single tasks
and this goes to show how crazy things
are because it was only recently that we
did just get Gemini Ultra which
surpassed GPT 4 on every single
benchmarks but now we literally just get
clothed three only around 2 to 3 months
later that surpasses Gemini 1.0 Ultra on
every single benchmarks you can see that
this is some really really impressive
stuff because if we take a look at the
percentages we are nearing 100% in some
categories you can see 95.4% on common
knowledge L swag and we can see on some
of these other ones that it's 96.4%
90.8% and 95% so this is something that
really did shock me because I didn't
expect a clae release for a little a
little bit more but not only did they
surprise me about the release date these
benchmarks surprisingly managed to take
on Google already which is a very
impressive feat and Dethrone GPT 4 now
something that I did see and this is of
course around the first hour of this
model being released was that there is a
qualitative aspect that you can't sort
of look at when you're looking at these
benchmarks essentially what I mean here
is that whilst it is good to yes look at
these benchmarks and think okay how does
the AI do on the these on these maths
problems on these coding problems and
reasoning over text but the actual
qualitative data that you can get from
your users is something that is very
important because at the end of the day
it's your users who's going to be using
this that determine whether or not your
product is actually good and so far
based on what I've seen the qualitative
data where people are actually talking
about how good the model actually is
shows us that this model isn't just good
at reasoning and doing well on some of
the benchmarks this is clearly a model
that people really do like you can see
here that this person says excited to
share what we've finally been working on
to me talking to Opus feels different
than talking to any other large language
model it seems just to get you this
can't be represented in any evaluation
metric or Benchmark you have to just go
experience it yourself and then this
person says evaluations aside Clause 3
Opus feels like the smartest model I've
talked so that is something that I feel
will be important and I would love to
see where this model ends up on the llms
chatbot Arena because that is something
that uses quality data to judge where
the models actually do lie and I think
it is a very important metric one of the
most surprising things that we did get
from the clae 3 release was of course
the vision capabilities Claude 3's
different models and I will get into
later how these models actually do
differ do possess New Vision
capabilities this is actually a model
that is multimodal it states that the
claw 3 models have sophisticated Vision
capabilities on par with other leading
models they can process a wide range of
visual formats incl including photos
charts graphs and Technical diagrams
we're particularly excited to provide
this new modality to our Enterprise
customers some of whom have up to 50% of
their knowledge bases encoded in various
formats such as PDFs flowcharts or
presentation slides so you can see that
clae 3 is finally becoming a model that
is very very effective at a wide range
of tasks not just text and something
that is important is they've actually
shown us a demonstration on how well
Claude 3 Opus combined with the Vision
model is going to be at doing in this
video we're going to see if Claude and a
couple of friends can help us analyze
the world economy in a matter of minutes
okay I've asked Claude 3 Opus which is
the largest model in anthropics new
Claude 3 family to look at the GDP
trends for the US and write down a
markdown table of what it sees we've
given Opus and all the other models in
the clae 3 family extensive training on
tool use and one of the major tools it's
using is this web view tool it goes to a
URL looks at what's on the page and
because it's multimodal it can use the
information on that page to solve
complex problems so here's the markdown
and it's important to note that CLA
doesn't have direct access to these
numbers it's literally looking at the
same browser you and I are seeing
looking at the trend line and trying to
estimate what the exact numbers are
let's see how accurate it was we've
asked the model to create a plot of the
data and it's used the second tool this
python interpreter to write out the code
and then render the image for us to
check and here's the image look it's
actually added helpful little tool tip
animations to explain some of the major
Peaks and troughs in the last decade or
two of the US economy and we can compare
that graph with the actual data and it
turns out it's pretty close it's
actually within 5% accuracy and by the
way Cloud's transcription here isn't
just coming from its pre-existing
knowledge of US GDP we tried it with a
large sample of madeup GDP graphs and
its transcription accuracy was within
11% on average next we asked the model
to do some statistical analysis
projecting out into the future
performing simulations to see where the
GDP of the US might head and we can see
that it's run this analysis using Python
and it's able to perform these Monte
Carlo simulations to see what the range
of GDP possibilities might look like for
the next decade or so but I wonder if we
can go further we're going to get the
model to analyze a more complicated
question that is how GDP might change
across all of the biggest world
economies and then to help it do that
we're going to give it one more tool
called dispatch sub agents this
basically allows the model to break down
the problem into lots of sub problems
and then write prompts for other
versions of itself to help pick up the
slack the models can then complete a
more complex task by all working
together here you can see it's written
this prompt and given very precise
instructions that it wants the other
models to follow including a format for
the data that it's hoping to return it's
dispatched matched a version of this
prompt to one model that's going to look
at the US one for China One for Germany
Japan and so on we can see in these
progress bars that the sub agent models
are now completing the set task for each
of the individual economies they're
going to the relevant web pages they're
getting the information they're running
the code to analyze it just like we saw
in the previous US example but all in
parallel let's just skip forward to see
what the model produced you can see it's
run the analysis it's produced a pre-
and post pie chart of how it expects the
world economy to look in 2030 versus
2020 and it's given us a written
analysis too where it makes variable
predictions that relate to the
statistical analysis that it ran it's
telling us that it thinks the GDP share
of particular economies will change and
which ones will be larger or smaller by
2030 so there we have it complex
multi-step multimodal analysis run by a
model that can create sub agents to get
get even more tasks running in parallel
we're excited to see what you our
customers can do with these Advanced
clae 3 capabilities so yeah that small
demo was rather impressive we actually
got to see Claude 3 act as not only
someone who is able to accurately take
data from an image that doesn't exactly
have the data just doing pure estimates
which is really really good and just
shows how well their visual system is
but also a very very interesting feature
that caught me off guard were two of
them the first one being this
simulations I think that this is really
really cool we can see it doing some
kind of you know kind of tree search
which looks absolutely amazing and is
going to be very very useful for data
analysis like they stated it's going to
be used for predicting things and I do
wonder how some of those predictions
will hold up in the future and you know
if we actually do use the future data
and then say look this actually was
correct cor maybe we could even get
models that are increasingly
increasingly smarter as their
predictions come true they decide to I
guess you could say reinforce that data
somehow so that is going to be a whole
new area that I really didn't see before
that I'm excited to explore with Claude
3 now I know most people are going to be
excited about this and so was I the sub
agents area was something that I found
to be absolutely astounding this is
where you can literally get an AI model
to automatically decide to dispatch sub
agents to do the rest of the task and I
just find that that is a concept that is
really really effective and you can see
here that it managed to complete the
task with much more efficiency than just
asking one model so I think that what we
have here on that demo was showing us
just how great this claw 3 Model is not
just in terms of its Common Sense
reasoning in terms of its Vision
capabilities but also in terms of its
ability to do complex step-by-step
reasoning with mult multiple different
tasks and that right there within the
API and Tool use which they state is
coming soon I'm guaranteeing you is
going to have some massive implications
for the industry because people are
going to be using this in very very
creative ways as we've seen with other
AI models next of course we do have
another short demo and this is by the
other model Haiku and this one is very
very fascinating too Claude Haiku is one
of the fastest and most affordable
Vision capable models in the world to
demonstrate this we're going to read
through thousands of scanned documents
in a matter of minutes the Library of
Congress Federal writers project is a
collection of thousands of scanned
transcripts from interviews during the
Great Depression this is a gold mine of
incredible narratives and real life
Heroes but it's locked away in hard to
access scans of transcripts imagine
you're a documentary filmmaker or
journalist how can you dig through these
thousands of messy documents to find the
best source material for your research
without reading them all yourself since
these documents are scanned images we
can't feed them into a text only llm and
these scans are messy enough that they
would be a challenge for most dedicated
OCR software but luckily Haiku is
natively Vision capable and can use
surrounding text to transcribe these
images and really understand what's
going on we can also go beyond simple
transcription for each interview and ask
Haiku to generate structured Json output
with metadata like title date keywords
but also use some creativity in judgment
to assess how compelling a documentary
the story and characters would be we can
process each document in parallel for
performance and with claude's high
availability API do that at massive
scale for hundreds or thousands of
documents let's take a look at some of
that structured output Hau is able to
not just transcribe but pull out
creative things like keywords we've
transformed this collection of many many
scans uh into Rich keyword structure
data imagine what any organization with
a knowledge base of scan documents like
a traditional publisher healthcare
provider or Law Firm can do Haiku can
parse their extensive archives and
bodies of work we'd love for you to try
it out and see what you build so once
again that was a very impressive demo on
how these Vision capabilities can be
used at scale for multiple Industries in
multiple applications and once again I
can't imagine what people are going to
do once they do get their access on the
apis now another thing that was actually
really cool was that they stated that
there is going to be immediate response
from one of the claw 3 models and that
is of course their most lightweight
model ha cou so it states that ha cou is
the fastest and most cost effective
model on the market for its intelligence
category and it can read an information
and data dense research paper on arxiv
which is around 10,000 tokens with
charts and graphs in less than 3 seconds
so following launch we expect to improve
performance even further and for the
vast majority of workloads Sonet is two
times faster than claw 2 and 2.1 these
are the previous models with higher
levels of intelligence and it excels at
tasks demanding rapid responses like
knowledge retrieval or sales Automation
and opus delers similar speeds to claw 2
and 2.1 but with much higher levels of
intelligence so you can see right there
these near instant results are going to
be able to provide some very very
interesting applications because as you
all know AI that is very latency Laden I
guess you could say isn't something that
is quite effective in certain responses
for example in live chats Auto
completions and in certain scenarios
where responses must be immediate and
real time IQ being the most cost
effective model and the fastest is going
to be interesting to see if it actually
does manage to Dethrone some of the
other ones who are very very quick but
considering the intelligence it might
just be haikou that takes the cake
there's also another very impressive
demo that I do want you all to see and
this is their model sonnet acting as a
language part this is just a simple
prompt to turn son it into a dialogue
agent that will talk with you in a
language that you're trying to learn so
I chose Spanish and I wanted it to
basically take my imperfect Spanish and
and help me improve it um so I decided I
wanted it to do a few things things I
wanted it to take my message which will
be in kind of imperfect Spanish um and
write out what it thinks I intended in
English I then ask it to write back the
ideal learner message which is just my
message as it kind of should have been
written in Spanish so I can see the kind
of Ideal form of this uh then I asked it
to write a teacher response which just a
response to me in Spanish uh so that I
can continue the conversation great so
this is basically just son it saying
that we're ready to start so I'll just
start with a simple first message and
here it's following the format that I
asked for so it's repeating the message
that I tried to send it back to me in
English it's telling me how I should
have said it so it's corrected some of
the grammar issues in my request um and
then it's responded to me in Spanish and
then it's asked me uh where I'm from so
okay now imagine I don't know a certain
word in Spanish but I still want to say
it I'm going to just include that word
in English in square brackets and
hopefully it will just translate it back
to me and suppose I hit a roadblock
because I just don't understand the
message that it's sent to me I can just
ask it to translate that message to me
into English and then I can read that
and I can respond to it again in Spanish
continuing the dialogue and as a final
step you could ask Sonet to create a
little quiz for you based on the things
that you've been discussing so hopefully
that is a useful prompt if you're
interested in using Sonet as a language
learning partner I hope you try out now
something in addition that I did also
want to mention was less refusals you
can see here that claw 3 actually
refuses things a lot less it states that
previous clawed models often made
unnecessary refusals that suggest Ed a
lack of contextual understanding we've
made meaningful progress in this area
Opus Sonet and highq are significantly
less likely to refuse answer prompts
that border on the system's guard rails
than previous generations of models as
shown below the claw 3 models show a
more nuanced understanding of requests
recognize real harm and refuse to answer
harmless prompts much less often this is
definitely something that I would say is
a win for Claude and anthropic because
one of the main problems with Claude 2.1
was that it really just didn't answer
many of your questions prob most of the
times it just refused to answer your
questions leading to user frustration
and I was someone who was actually in
that group because trying to use Claude
when it's very very good is very very
fun but when it doesn't want to respond
to what you're stating because it thinks
there's a real danger when there really
isn't is one of the most frustrating
things you could ever experience but you
can see they've now improved this
another thing was of course the improved
accuracy and they state that businesses
of all size rely on our models to serve
their customers making it imperative for
our model outputs to maintain high
accuracy at scale to assess this we use
a large set of complex factual questions
that Target known weaknesses in current
models and we categorize the responses
into correct answers incorrect or
hallucinations and admissions of
uncertainty where the model says it
doesn't know the answer instead of
providing incorrect information compared
to claw 2.1 Opus demonstrates a two-fold
Improvement in accuracy or correct
answers on these challenging op
open-ended questions while also
exhibiting reduced levels of incorrect
answers in addition to producing more
trustworthy responses we will soon
enable citations in our claw 3 models so
they can point to precise sentences and
reference material to verify their
answers now there was also something
that I really wanted to talk about which
is the perfect recoil Lord 3 Opus has
recoil accuracy that borders on 99% they
state that the Claude 3 family of models
will initially all offer a 200k context
window upon launch and however all three
models are capable of accepting inputs
exceeding 1 million tokens and we may
make this available to select customers
who need enhanced processing power to
process long context prompts effectively
models require robust recall
capabilities the needle in a haystack
evaluation measures a model's ability to
accurately recall information from a
vast Corpus of data and they state that
we enhance the robustness of this
Benchmark by using one of the 30 random
needle question pairs per prompt and
testing on a diverse crowdsource Corpus
of these documents Claude 3 Opus not
only achieved near perfect recall
surpassing 99% accuracy but in some
cases it even identified the limitations
of the evaluation Itself by recognizing
that the needle sentence appeared to be
artificially inserted into the original
text by a human so you can see here that
claw 3 is actually a very very effective
system that is able to completely
identify what's going wrong in it a
200,000 context window and they also
state that all of these models are
capable of 1 million token context input
which just goes to show the era of 1
million context window is upon us and
this is very very impressive stuff
because this now allows for a lot more
use case capabilities now one of the
main questions that I actually had when
looking at Claude was of course the
difference between the three models this
was something that was a little bit
confusing when looking at the blog post
initially but they've actually made made
it really simple to understand if you
want the cliff notes you can just
screenshot this and share it to whoever
might need it but essentially Opus is
just the highest intelligence available
it's the smartest model that you use if
you're trying to get the most factual
answer sonnet is strong performance at a
lower cost so it's a balance of the
intelligence and of course the cost and
Haiku is the near instant speed and a
very low cost so that is essentially the
difference between these three models if
you were wondering now we can dive into
a little bit more detail on these model
models you can see that clae 3 Opus and
then you can see at the bottom here it
does have the differentiator and the
differentiator is the main thing that
you do want to pay attention to this is
just higher intelligence than any other
model available you can see it costs the
costs do seem quite steep if I'm being
honest with you guys like that does seem
like a pretty expensive model but then
again this is a state-of-the-art AI
system that is leading the frontier of
AI intelligence so there's no surprise
that this model is that expensive now of
course it shows us the potential uses
for Opus and it does say task automation
plan and execute complex actions across
API and databases interactive coding
research and design research review
brainstorming and hypothesis generation
drug discovery of course we've
additionally got strategy Advanced
analysis of charts and graphs financials
and market trends forecasting and then
of course the highest intelligence of
any other model and this is Opus now
then of course we do have Sonet which is
where they State CLA 3 Sonet strikes the
ideal balance between intelligence and
speed particularly for Enterprise
workload it delivers strong performance
at a lower cost compared to its peers
and it's engineered for high endurance
in large scale AI deployments it says
that the potential use cases for this
are data processing it says rag or
search and retrieval over vast amounts
of knowledge sales product
recommendations forecasting targeted
marketing and time-saving tasks such as
code generation quality control and pass
text from images of course like I stated
before it's more affordable than other
models with similar intelligence and
it's better for for scale so if there is
a model with similar intelligence as
Sonet this model is just a bit cheaper
then of course we do have Hau and CLA 3
Hau is our fastest most compact model
for near instant responsiveness it
answers simple queries and requests with
unmatched speed users will be able to
build seamless air experiences that
mimic human interactions so of course
the potential use cases for this are
customer interactions quick and accurate
support in live interactions and
translations content moderation catch
risky Behavior or customer requests and
cost-saving tasks such as optimize
Logistics Inventory management extract
Knowledge from unstructured data and
essentially smarter faster and more
affordable than any other models in its
intelligence category so overall we can
see that this new state-of-the-art
system claw 3 by and thropic has really
surprised everyone and taken us back
because it is something that is now a
state-of-the-art model that surpasses
every other AI system so this is
something that is quite fascinating
because the AI space is always rapidly
evolving and it was only a couple of
months ago that we had a new AI system
literally surpassed GPT 4 and now that
system has been surpassed so it seems as
if the race is heating up and things are
accelerating but I leave you all with
this question what do you think about
claude's new model are you going to be
testing this out because of course right
now you can see that you can actually
use Claude if you want to if you want to
be able to just test out how good the
system is and I'm going to be doing
another video and actually testing out
the system showing you some of the best
use cases because I feel like that is
better saved for another video rather
than talking about this actual
announcement so hats off to the
anthropic team for an amazing product
and hopefully we can all have some fun
using this amazing new AI system
Ver Más Videos Relacionados
ChatGPT Is OLD NEWS After Seeing This Incredible AI!
What the heck happened to the Claude 3 OPUS????
Foundation Models | Satya Nadella at Microsoft Build 2024
🚨BREAKING: LLaMA 3 Is HERE and SMASHES Benchmarks (Open-Source)
Meet Claude 2 : Anthropic's NEXT GEN Supercharged Model
Claude DISABLES GUARDRAILS, Jailbreaks Gemini Agents, builds "ROGUE HIVEMIND"... can this be real?
5.0 / 5 (0 votes)