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How to leverage Claude's capabilities with interactive visualization

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Re: How to leverage Claude's capabilities with interactive visualization

#13

Post by fragmede »

dash2 wrote: post #12

This seems like Anthropic showing people how to build a thin layer around Claude. Can building a thin layer around Claude be a valuable business model? If there are good profitable UIs for Claude, wouldn't Anthropic implement them itself?

Opportunity cost. Anthropic's deal is in training Claude and whatever they choose to call their next model, not whatever weird little niche you're going after. I might not go after programming, but, say, a dnd character backstory generator would be a wrapper that's probably not interesting enough for them to build themselves to compete with yours. Or maybe it is, but your DND character backstory generator also doesn't have to use anthropic as the backend, there are others for you to choose from, so it's a bit of a standoff.

Re: How to leverage Claude's capabilities with interactive visualization

#14

Post by peer2pay »

dash2 wrote: post #12

This seems like Anthropic showing people how to build a thin layer around Claude. Can building a thin layer around Claude be a valuable business model? If there are good profitable UIs for Claude, wouldn't Anthropic implement them itself?

I think the idea here is to build a thin layer but BYOD.

I currently work for a company where most our value add lies in the data collection, cleaning and running of proprietary algorithms. A UI like this would be a game changer for us and something that Anthropic couldn’t easily replicate due to all the IP in our data pipeline.

Re: How to leverage Claude's capabilities with interactive visualization

#16

Post by anonzzzies »

dash2 wrote: post #12

This seems like Anthropic showing people how to build a thin layer around Claude. Can building a thin layer around Claude be a valuable business model? If there are good profitable UIs for Claude, wouldn't Anthropic implement them itself?

I would indeed (like Altman promised for OpenAI; 'we're gonna steamroll you'), implement all these cases (and many more) on their side, so their 'chat' becomes a full toolkit for building, visualising, prompting etc and allow people to plugin their data/processes (maybe with a few partners for that part which they can easily replace or have multiple of).

Currently, the "Added to project" button that remains for n seconds and you have to wait for to add another file (sometimes Claude generates 4-5 files per chat) is such an annoyance that I guess they should stick to training and nothing else.

Re: How to leverage Claude's capabilities with interactive visualization

#17

Post by croes »

zurfer wrote: post #8

Well done. We are building something similar [1] and found that generating UIs (mostly charts) on the fly works surprisingly well in most cases, but can be a bit frustrating if you know exactly what you want and just can't prompt it (as a user) to do that because of some edge case. While this is a cool demo that shows what LLMs can do I am a bit surprised how polished and advanced it looks (even PDF upload) for a qui…

They want and need your data, of course they make it easy for you to give them what they want

Re: How to leverage Claude's capabilities with interactive visualization

#20

Post by cj »

SparkyMcUnicorn wrote: post #6
bl4ckneon wrote: post #5

(didn't look at the code yet but) Would a challenge of building an app like this that heavily depends on a LLM be getting a deterministic response back? I guess you could code for it to check if it gave you a certain format of data or if it was what you expected, but if I upload something that Claude doesn't understand and it gives back something that breaks the data analysis then that seems it would be tricky to han…

Anthropic and OpenAI let you define a JSON schema to adhere to for tool calling. Here's the part you're looking for: https://github.com/anthropics/anthropic-quickstarts/blob/mai...

For some reason, the guarantee in the format of the response doesn't seem sufficient in preventing backwards incompatible changes that may happen to models.

Yes, the response might be in a standard format. But a well formed response can still be bad/broken.

Another way to think about it, is it can "pass QA" one day, and "fail QA" the next day even if the API response is identically formatted/structured.

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