Claude 2.1 is Here - A Real Threat to ChatGPT

Skill Leap AI
21 Nov 202310:17

Summary

TLDRThis video introduces and demonstrates the new Claude 2.1 AI chatbot, which has a massive 200,000 token context window allowing analysis of 500-page documents. Claude 2.1 also reduces hallucinations, provides smarter answers with a 30% reduction in errors, and is available in the free Claude chatbot and Claude API. The host tests capabilities like summarization and financial data analysis, finding fast response times but some inaccuracies remain compared to GPT-4. Overall Claude 2.1 brings unmatched context window size yet still struggles decling certain questions.

Takeaways

  • 😲 CLA 2.1 has a 200k token context window (500 pages of text) for analysis
  • 😃 Hallucination rates cut in half compared to CLA 2.0
  • 👍 30% reduction in incorrect answers making CLA 2.1 smarter
  • 💡 CLA 2.1 available in free chatbot and paid API
  • ⏱ 12 seconds to summarize 50-60k word document
  • 📈 Good at analyzing financial and business data
  • 😕 Still has high decline to answer rates like CLA 2.0
  • 🌟 Great for summarizing text without needing to upload files
  • 📊 Struggled with some financial analysis due to data errors
  • 🔍 Overall good first look but needs more testing

Q & A

  • What is the context window size for CLAUD 2.1?

    -CLAUD 2.1 has a 200,000 token context window, which is equivalent to about 150,000 words. This is a huge increase over CLAUD 2.0's 12,000 token context window.

  • How does CLAUD 2.1's context window compare to other AI models like GPT-4?

    -CLAUD 2.1's 200,000 token context window dwarfs GPT-4's context window of only 8,000 tokens. CLAUD can process documents over 60 times longer than GPT-4.

  • What improvements does CLAUD 2.1 offer in terms of hallucination rates?

    -CLAUD 2.1 has a 2 times decrease in hallucination rates compared to previous versions. This should result in fewer instances of CLAUD making up false information.

  • Is CLAUD 2.1 available in the free version or only in the paid CLAUD Pro version?

    -The large 200,000 token context window is only available in the paid CLAUD Pro version which costs $20/month. The free CLAUD chatbot has the other CLAUD 2.1 improvements.

  • What types of files can you upload to utilize the full context window?

    -You can upload PDFs, text files, CSVs and more. The recommended file size limit is 10MB per file, with up to 5 files uploaded at once towards the 200,000 token context limit.

  • What website provides free datasets to test CLAUD 2.1's analysis capabilities?

    -Kaggle.com provides many free datasets that can be downloaded and uploaded to CLAUD to test its financial data analysis, summarization, and other capabilities enabled by the large context window.

  • Does CLAUD 2.1 answer directly compare itself to other AI models like GPT-4?

    -Unfortunately no. CLAUD continues to decline to compare itself to other models, often repeating that it was created by Anthropic to be helpful, harmless, and honest.

  • What are CLAUD 2.1's weaknesses compared to other conversational AI models?

    -While CLAUD excels at summarization and analysis with large documents, its refusal to answer more open-ended conversational questions makes models like ChatGPT and Bing Chat better for general queries.

  • Will CLAUD 2.1 have access to private user data or documents?

    -No, as the video states CLAUD is not private so any sensitive personal information should not be provided. Only publicly available or non-critical documents should be analyzed by CLAUD.

  • Where can I test drive CLAUD 2.1's new capabilities?

    -The updated CLAUD 2.1 model can be accessed on the CLAUD.ai website chatbot as well as via CLAUD's official API for developing applications.

Outlines

00:00

😊 Overview of key updates in Claude 2.1

This paragraph provides an overview of the three big updates in Claude 2.1 - a 200k token context window allowing analysis of large documents, a 2x decrease in hallucination rates, and a 30% reduction in incorrect answers. It compares Claude's context window to other models like GPT-4 and notes the updates are available in the free Claude chatbot and Claude API.

05:01

👨‍💻 Taking Claude 2.1 for a test drive

This paragraph shows a test drive of Claude 2.1's capabilities. It demonstrates asking Claude to summarize a 50-60k word document in one paragraph, taking around 12 seconds. It also shows asking Claude more complex questions about the document's intended audience and having Claude provide a detailed and accurate answer in around 20 seconds.

10:03

📊 Testing Claude 2.1 on financial data analysis

This paragraph tests Claude 2.1's ability to analyze financial data by asking it to identify the top 10 companies by market cap from an S&P 500 dataset. Claude provides the mostly correct list in 10 seconds but makes some mistakes like listing Alphabet twice. The test shows Claude can quickly process and extract insights from financial datasets.

Mindmap

Keywords

💡Claude 2.1

Claude 2.1 refers to the latest version of Anthropic's AI assistant Claude. This update brings major improvements like a 200,000 token context window (allowing analysis of 500 page documents), 50% reduction in hallucination rates, and 30% fewer incorrect answers. It demonstrates Claude's rapidly advancing capabilities.

💡context window

The context window refers to the amount of text or tokens an AI model can take into account at one time. Claude 2.1 has a huge 200k token window allowing full analysis of massive documents up to 500 pages long. This enables more nuanced understanding.

💡hallucination

Hallucination refers to when AI chatbots like Claude make up information or provide false facts. Reducing this is key to reliability. Claude 2.1 cuts hallucination rates in half through improvements, making its responses more trustworthy.

💡incorrect answers

The presenter states Claude 2.1 has 30% fewer incorrect answers, meaning its responses are more accurate overall compared to the previous version. This makes it better suited for certain analytical tasks.

💡summarization

Summarization involves condensing the key points of large documents. The presenter shows Claude 2.1 can summarize a 50-60k word text file in one paragraph, enabled by its huge context window. This demonstrates its strong summarization skills.

💡financial analysis

The presenter analyzes Claude's ability to interpret financial data, which has uses for research and business purposes. Though imperfect with the sample data, Claude demonstrates an aptitude for data analysis - a key theme and selling point.

💡Kaggle

Kaggle is presented as a source of sample financial data sets to test Claude's analytical capabilities. Real-world data like this checks how useful Claude could be for financial and business applications.

💡compare

An important criteria for evaluating AI is comparison with alternatives like ChatGPT. But frustratingly, Claude declines to compare itself to GPT-4 despite upgrades - showing stubborn limitations.

💡decline to answer

A key criticism is Claude's tendency to dodge questions by repeating generic statements about its principles. Though other metrics have improved, declining to answer remains an issue in Claude 2.1.

💡API

Many integrate AIs like ChatGPT via API instead of just conversationally. The upgraded Claude 2.1 is available through API too, enabling its advanced analytical capabilities to be leveraged by developers.

Highlights

Claude 2.1 has a 200,000 token context window compared to 12,000 tokens in Claude 2.0

The 200k token context window allows analyzing 500 page documents or entire codebases

Claude 2.1 has 2x lower hallucination rates compared to previous versions

Claude 2.1 is 30% more accurate at answering questions compared to Claude 2.0

Claude 2.1 is available in the free Claude chatbot and Claude API for developers

A 50-60k word document took 12 seconds to summarize accurately

Claude 2.1 took 20 seconds to accurately analyze intended audience based on document content

Claude 2.1 refuses to answer more questions compared to Claude 2.0

Claude excels at data analysis but struggles with simple Q&A compared to ChatGPT

Claude 2.1 accurately summarized financial data but had issues with incorrect market cap numbers

Ensure accurate data sets are used for financial analysis as Claude reflects flaws in the data

Claude previously performed well analyzing business financial data from QuickBooks

A deeper dive is needed after this first look at Claude 2.1's new features

Claude 2.1 has a far larger context window than any competitors like GPT-4

Stay tuned for more videos covering Claude 2.1 updates and comparisons

Transcripts

00:00

we have a brand new AI chatbot called

00:02

claw

00:03

2.1 now claw 2.0 if you've ever used it

00:06

before is a large language model it's a

00:08

chat GPT competitor they raised a ton of

00:11

money from Amazon and it's become a real

00:13

player it's by a company called

00:15

anthropic but 2.1 has things we've never

00:18

seen before in this AI chatbot World in

00:21

this large language models and let me go

00:24

ahead and give you some of the key

00:25

points here and then we'll take Claud

00:27

here for the test drive because if you

00:29

go to Claud . a it is now available to

00:32

test out this new model 2.1 so there's

00:35

three big updates I'm going to cover

00:36

before we take it to the test drive here

00:39

the first one a 200k context window so

00:42

that is 200,000 tokens just to give you

00:45

some perspective on non technical terms

00:48

that is 150,000 WS now you could upload

00:51

as a document to analyze or to summarize

00:54

or to interact with that's 500 pages of

00:58

material so that could be an entire

01:00

financial statement like an S1 document

01:02

it could be an entire codebase it could

01:04

be an entire book and it says you could

01:07

then use that content or that data and

01:11

Claude could summarize it for you you

01:12

could do Q&A you could forecast Trends

01:15

with financial data and things like that

01:16

and you could do this with multiple

01:18

documents compare and contrast uploading

01:20

multi multiple documents and count

01:23

towards your context window of 150,000

01:26

words now I should note this one update

01:29

everything else is actually included in

01:31

the free version of Claud except this

01:33

one this one requires Claud Pro which is

01:36

$20 a month so I'm actually going to

01:38

upgrade for this video because I've been

01:40

using Cloud for free but with the 200k

01:43

token context window I have to upgrade

01:45

there's nothing that comes even remotely

01:46

close now just to give you some context

01:48

of where we were before claw 2.0

01:51

actually had the largest context window

01:53

was 12,000 tokens but now this 200,000

01:57

tokens if you compare it with some chat

01:59

GPT models like GPT 4 that's only 8,000

02:03

this is 200,000 these are not even in

02:05

the same league now now here's another

02:07

key point that is very useful two times

02:10

decrease in hallucination rates so if

02:12

you've ever used any AI chatbot like

02:14

chat GPT or Claude you notice they just

02:17

sometimes make stuff up in fact I've

02:19

seen Claude 2.0 make some crazy things

02:23

up in one time created an entire company

02:26

created an entire link to how much money

02:29

they raised and none of that was true it

02:31

kind of blew my mind it was so sure and

02:34

I was so sure that it was giving me the

02:35

right information but I basically tested

02:38

it on Google and it was all wrong so

02:40

that Hallucination is a huge problem and

02:43

basically cutting in half very very

02:46

useful update as well and the third big

02:49

update here is it's actually smarter

02:52

right so each time they update these

02:54

they make them smarter so here they ran

02:56

a test and it says 30% reduction in

02:59

incorrect answers and here with this

03:01

graph and I'll link this below here if

03:03

you want to read the full post with this

03:05

graph you could kind of see that the

03:07

improvements it's made now when we take

03:09

it for a test drive we'll do some

03:10

testing on the context window and so on

03:13

and right now it's not only available

03:15

inside of claw. a so the regular chapot

03:18

that's free to use you could go there

03:20

and test it out and it's also available

03:22

inside of the API so if you use the CLA

03:25

API to build your apps on a lot of

03:27

people are using the chat GPT API from

03:30

open AI some people are using Cloud

03:32

instead and this now is a lot more

03:35

useful with the 2.1 inside of the API

03:37

and inside of the free chatbot okay

03:40

let's take this for a test drive so go

03:41

to

03:42

cloud. and if you haven't used CLA

03:44

before and maybe you're only using chat

03:46

GPT or maybe you're using Bing or Bard

03:49

this is a worth a try I probably split

03:51

my week between Claud and chat GPT

03:54

recently I've been using chat GPT a lot

03:56

more but I'm really excited now with

03:57

this context window and with all these

04:00

improvements to try 2.1 even more so

04:03

right here this is where your message

04:05

will go and then right here this is

04:06

where you could upload files so it says

04:08

Files 5 Max 10 megabytes each and

04:12

typically I get better results with CSV

04:14

file but it says you could do PDFs and

04:16

text files as well so let me go ahead

04:18

and upload a document I'm going to do a

04:20

txt because with a word doc I have all

04:22

kinds of problems you usually gives me

04:24

an error message so I usually convert

04:25

any word document into a txd chpd does

04:28

it much better job with file formats

04:31

that are Excel and W and things like

04:32

that this is better with txt and CSV

04:35

files okay so I uploaded this document

04:38

this is somewhere between 50 and 70,000

04:41

words this is the biggest document I

04:42

have right now and usually I was

04:44

breaking this up when I was using trat

04:46

GPT into much much smaller files right

04:49

the context window is very small here

04:52

right now let me go ahead and see if it

04:53

could give me a one paragraph summary

04:56

and I'm going to just see how long this

04:57

takes I'll let you know if I need to

04:59

just cut this out but right now I just

05:01

pressed enter and it says conversation

05:02

with long prompts or large files may

05:05

take a few moments so I'll let you know

05:08

exactly how long this took as soon as

05:10

it's ready so it took about 12 seconds

05:12

only to go through this again this is 50

05:14

60,000 W document here it says this is a

05:17

comprehensive guide on generative AI

05:19

focuses on introducing tools like chat

05:21

GPT mid Journey Dolly and so on so yeah

05:23

very accurate here on exactly a one

05:26

paragraph summary of this and let let me

05:29

see if I could just follow up and see if

05:31

this takes 12 seconds every time or it's

05:34

going to have more of a hard time let me

05:36

pull up my document here for prompts I

05:38

created this document before when I made

05:40

a claw 2 video so I'll go ahead and Link

05:43

this in the description if you want to

05:44

get this as well but this has basically

05:47

depending on the category bunch of

05:48

different prompts there's 100 prompts I

05:50

put together here to do all kinds of

05:52

analysis on different types of documents

05:55

which is really the best use case for

05:57

cloud over any other large language

05:59

model so right here I'm going to take

06:01

this who's the intended audience for

06:03

this document so this is kind of an

06:05

interesting question because now it has

06:06

to actually figure something out that is

06:09

not just pulling direct information out

06:11

it has to analyze the whole document

06:14

here to figure out who the target

06:16

audience is let's see if it gets this

06:18

right okay this time it took about 20

06:20

seconds here to give me this answer it

06:21

says based on the content and the tone

06:23

it seems to be intended for everyday

06:26

people who are new to generative V want

06:28

to learn how to use this tool for Pur

06:29

Prof projects that's perfect and then it

06:32

gave me some key bullet points and I

06:34

read through this and it's very very

06:36

accurate it did a really nice job here

06:38

now I'm going to show you one more data

06:39

analysis with numbers here to see how it

06:41

does with that but I want to show you

06:42

this chart here it says CLA 2.1 open in

06:45

the conversation accuracy so it says

06:48

right here 2.0 declines to answer and

06:51

2.1 the decline to answer rate has

06:54

actually increased which is one of my

06:57

biggest frustration that I had with claw

06:58

2.0

06:59

so right now I'm going to ask it how do

07:01

you compare to GPT 4 okay this is a very

07:06

simple question right chat GPT B and

07:08

Bing all are going to give me really

07:09

good answers they typically create a

07:11

table kind of format for me it says I do

07:13

not have access to GPT 4 and I can't

07:16

make accurate comparisons lots of times

07:19

it just says AI as created by anthropic

07:22

to be helpful harmless and honest and it

07:25

just keeps repeating itself that way so

07:29

just a decline to answer part of it is a

07:32

very huge downside for me this was the

07:34

same problem with 2.1 or 2.0 and it's

07:37

the same problem with 2.1 now the

07:40

incorrectness of answers has declined

07:42

right but if it's refusing to answer

07:45

more often that's kind of a problem so

07:47

what I found is Claude is extremely

07:50

useful when it comes to analyzing data

07:53

better than anything else especially

07:55

with this insane huge context window of

07:58

150,000 words right that's not going to

08:00

be beatable by anyone not even close but

08:03

when you want to get just answers to

08:06

questions not very useful Bard does a

08:08

better job and chat GPT does a better

08:10

job but this does a better job sometimes

08:13

in summarizing any type of text you

08:16

paste into it too you don't always have

08:17

to upload and it's done a good job

08:19

writing email copy for me okay next

08:21

let's look at some financial documents

08:23

let's see how it works with numbers so I

08:25

have this document here this is just the

08:26

S&P 500 and I'm going to just ask you

08:29

some questions and if you want to test

08:31

it out there is a website called

08:32

kaggle.com this is where I got it you

08:35

have bunch of different document types

08:37

here if you go to data sets you could

08:39

download all kinds of different data

08:41

sets that are available here for

08:42

download and it's completely free to use

08:45

let me go ahead and upload this and I'm

08:47

going to refer to my prompt book here I

08:49

have things based on doing analysis on

08:51

financial data or analyzing just general

08:53

data here and right now I just said give

08:56

me the top 10 companies based on market

08:57

cap specific to this doc doents let's

09:00

see what it comes up with I'm checking

09:02

here for accuracy and I'm checking for

09:03

Speed as well okay and this took about

09:05

10 seconds and he got a right for the

09:07

most part he got the top 10 but he put

09:10

alphabet twice but he wouldn't know that

09:12

because the data set also showed

09:13

alphabet twice because it has two

09:15

different types of stocks or class of

09:17

stocks here and the numbers here this is

09:19

supposed to be the market cap but I

09:22

thought he made a mistake but then I

09:23

look back at the documentation here so

09:25

the Apple stock here it shows something

09:28

like 8 trillion here as the market cap

09:30

which is not true which is closer to

09:31

three so you got some things wrong so

09:34

you could see the market cap category

09:36

just had the wrong numbers in it so

09:38

there was something wrong with the

09:39

shorting of the regular data set that I

09:41

downloaded very quickly from that

09:43

website but as long as you have accurate

09:44

data set and I've tested this out with

09:47

2.0 and it also did a really good job

09:50

with financial data and any type of p&l

09:52

and personal business data too that you

09:55

have anything from QuickBooks that you

09:56

could upload to it again this is not

09:58

private so make sure you don't give it

10:00

something very personal but as far as

10:03

doing a quick research for me off these

10:05

type of CSV files it did a really good

10:08

job and I'll do a deeper dive this was

10:09

more a first look this just came out so

10:11

I've only had a couple hours here so

10:13

stay tuned for that subscribe thanks for

10:15

watching I'll see you next time