What the heck happened to the Claude 3 OPUS????

Summary

Thropic 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

00:00

🚀 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.

05:02

🔍 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.

10:03

🧠 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.

Keywords

💡Anthropic

Anthropic is the company behind the launch of 'Claude 3', aiming to surpass the capabilities of GPT-4 with this new model. The script suggests that Anthropic is focused on creating more intelligent, versatile, and potentially expensive models compared to its competitors. The company's approach to model development emphasizes not just performance but also multimodality, safety, and the ability to handle a vast amount of information efficiently.

💡Claude 3

Claude 3 is presented as the flagship artificial intelligence model from Anthropic, consisting of three variations: Hau, Sonet, and Opus. Each variant is designed to serve different scales and types of tasks, indicating a strategic approach to cater to a wide range of applications from task automation to customer support. The differentiation in the models underscores Anthropic's ambition to offer tailored solutions across various domains.

💡GPQA

GPQA, mentioned as a benchmark for evaluating large language models (LLMs), stands for a test measuring a model's ability in graduate-level reasoning, including subjects like physics. Claude 3's performance on GPQA, especially the Opus variant, underscores its advanced understanding and reasoning capabilities, positioning it as a highly competent model in challenging academic and intellectual tasks.

💡Synthetic Data

Synthetic data refers to artificially generated data used to train models, allowing for a broader and more controlled range of training scenarios. The script highlights that Claude 3 incorporates synthetic data in its training process, suggesting an innovative approach to improve model performance and understanding. This method indicates Anthropic's commitment to leveraging cutting-edge techniques to enhance the model's capabilities.

💡Multimodality

Multimodality in the context of Claude 3 refers to the model's ability to process and understand both text and visual inputs. This feature is highlighted as a significant advancement over other models, suggesting that Claude 3 can analyze charts, images, and possibly more complex data types. This capability points to a broader applicability in tasks requiring the integration of different data formats.

💡Prohibited Uses

The script outlines specific uses that are prohibited with Claude 3, including political campaigning and law enforcement decisions, emphasizing Anthropic's focus on ethical considerations and the responsible use of AI. This precaution indicates a proactive approach to mitigate potential misuse and harm, highlighting the company's commitment to safety and societal well-being.

💡Benchmark Performance

Benchmark performance refers to Claude 3's evaluation results on various tests designed to measure the capabilities of LLMs. The script mentions Claude 3's superior performance across benchmarks like GPQA and MBBP, illustrating its advanced analytical, reasoning, and problem-solving skills. These achievements signify the model's leading position in the AI landscape.

💡Token Cost

Token cost is mentioned in the context of the operational expense of using Claude 3 compared to GPT-4, highlighting that Claude 3 is more expensive, particularly in terms of input and output tokens. This detail reflects the premium value attributed to Claude 3's advanced capabilities and the potential financial consideration for users.

💡Interactive Coding Capability

Interactive coding capability, referenced in the script as a feature to be introduced in Claude 3, suggests the model's ability to understand and generate programming code interactively. This feature would enhance Claude 3's utility in software development, debugging, and educational contexts, further expanding its application scope.

💡Needle in a Haystack Analysis

This analysis technique is used to evaluate a model's ability to retrieve specific information from a large dataset. The script's mention of Claude 3 performing well in this test underscores its sophisticated search and recall capabilities, essential for research, data analysis, and information retrieval tasks.

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