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Claude 3.5 Sonnet

anthropic.com

31–40 of 287 posts

Re: Claude 3.5 Sonnet

#31

Anthropic is the new king. This isn't even Claude 3.5 Opus and it's already super impressive. The speed is insane. I asked it "Write an in depth tutorial on async programming in Go" and it filled out 8 sections of a tutorial with multiple examples per section before GPT4o got to the second section and GPT4o couldn't even finish the tutorial before quitting. I been a fan of Anthropic models since Claude 3. Despite the…

Can you let us know about the quality of the tutorial?

Re: Claude 3.5 Sonnet

#32
If anyone would like to try it for coding in VSCode, I just added it to http://double.bot on v93 (AI coding assistant). Feels quite strong so far and got a few prompts that I know failed with gpt4o.

fyi for anyone testing this in their product, their docs are wrong, it's claude-3-5-sonnet-20240620, not claude-3.5-sonnet-20240620.

Re: Claude 3.5 Sonnet

#33
Which is the goto leaderboard for determining which AI model is best for for answering devops / computer science questions / generating code? Wondering where Claude falls on this.

Recently canceled openai subscription because too much lag and crashes. Switched to Gemini because their webinterface is faster and rock solid. Makes me think the openai backend and frontend engineers don't know what they are doing compared to the google engineers.

Re: Claude 3.5 Sonnet

#34
post #23

Earlier quoted context omitted.

That's right! Breakdown here for the API: https://www.anthropic.com/pricing#anthropic-api

why would someone pick opus at these prices?

Someone who has built infrastructure or system prompts that use Opus will probably continue with Opus until they verify that everything works on Sonnet 3.5

Re: Claude 3.5 Sonnet

#36
A while ago I tested the image recognition skills of GPT-4o, Claude 3, and Gemini using a random street plan diagram I happened to have in my downloads folder (https://i.imgur.com/9WZpK0L.png). It's a top-down CAD rendering showing the planned renovation of a street in my neighborhood in Tampere, Finland. I uploaded the image and simply asked each model "What can you tell me about the attached picture?"

GPT-4o's answer was excellent and highly detailed, recognizing essentially all the relevant aspects of the image [GPT4o]. Claude 3 Sonnet was correct on a general level, but its answer was much less detailed and showed more uncertainty in the form of "A or B" sentences [CL3]. Gemini's answer was, well, hilariously wrong [GEM].

I just tried this with Claude 3.5 Sonnet and it did very well. Its answer was still not as detailed as GPT-4o's, but it did ask me if I want it to elaborate on any aspect of the image [CL35].

I think this was an interesting experiment because street plan CAD diagrams probably aren't very common in the training data of these models.

--

[GPT4o] https://gist.github.com/jdahlstrom/844bda8ac76a5c3248c863d20...

[CL3] https://gist.github.com/jdahlstrom/ecccf31c8305f82519f27af53...

[GEM] https://gist.github.com/jdahlstrom/2e12a966c0d603a7b1446ba08...

[CL35] https://gist.github.com/jdahlstrom/60ca9352630934bec6e2f4e37...

Re: Claude 3.5 Sonnet

#37
post #36

A while ago I tested the image recognition skills of GPT-4o, Claude 3, and Gemini using a random street plan diagram I happened to have in my downloads folder ( https://i.imgur.com/9WZpK0L.png ). It's a top-down CAD rendering showing the planned renovation of a street in my neighborhood in Tampere, Finland. I uploaded the image and simply asked each model "What can you tell me about the attached picture?" GPT-4o's an…

BTW I can't access the linked chats, not sure if it's just me.

Re: Claude 3.5 Sonnet

#38
post #36

A while ago I tested the image recognition skills of GPT-4o, Claude 3, and Gemini using a random street plan diagram I happened to have in my downloads folder ( https://i.imgur.com/9WZpK0L.png ). It's a top-down CAD rendering showing the planned renovation of a street in my neighborhood in Tampere, Finland. I uploaded the image and simply asked each model "What can you tell me about the attached picture?" GPT-4o's an…

We can't access any of your chats. You need to post conversations elsewhere.

Re: Claude 3.5 Sonnet

#39
Slightly better on the NYT Connections benchmark (27.9) than Claude 3 Opus (27.3) but massively improved over Claude 3 Sonnet (7.8).

GPT-4o 30.7

Claude 3.5 Sonnet 27.9

Claude 3 Opus 27.3

Llama 3 Instruct 70B 24.0

Gemini Pro 1.5 0514 22.3

Mistral Large 17.7

Qwen 2 Instruct 72B 15.6

Re: Claude 3.5 Sonnet

#40
I'm very impressed! Using Gpt-4o and Gemini, I've rarely had success when asking the AI models to create a PlantUML flowchart or state machine representation of any moderate complexity. I think this is due to some confusing API docs for PlantUML. Claude 3.5 Sonnet totally knocked it out of the park when I asked for 4-5 different diagrams and did all of them flawlessly. I haven't gone through the output in great detail to see if its correct, but at first glance they are pretty close. The fact that all the diagrams were able to be rendered is an achievement.
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