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ChatGPT Enterprise

openai.com

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Re: ChatGPT Enterprise

#81

Post by llmllmllm »

azinman2 wrote: post #79
llmllmllm wrote: post #75

Interesting that they're still centered around Chat as the interface, with https://flowch.ai (our product) we're building it much more around projects and reports, which we think is often more suitable for businesses. We're going after some of these use cases: Want a daily email with all the latest news from your custom data source (or Google) for a topic? How about parsing custom data and scores from your datasets u…

Some feedback (it's clear you're just pitching FlowChai, but that's ok its HN): I quick scrolled through your webpage and had no idea what it was. Extremely text heavy, and generic images that didn't communicate anything. I wanted to know what the product LOOKED like, especially as you're describing the difference between it and the chat interface of OpenAI. I think you updated your comment (or I missed it) with the…

Very fair, we have demo videos, guides etc planned for the next week or so. As it's a tool that can do many things it's hard to describe. Still a lot to do :)

In terms of what makes the report different from Bing: this could be any source of data: scraped from the web, search, API upload, file upload etc, so there's a lot more power there. Also, it's not just one off reports, there's automation there which would allow for example a weekly report on the latest papers on GPT4 (or whatever you're interested in).

Re: ChatGPT Enterprise

#82

Post by mediaman »

fdeage wrote: post #59
idopmstuff wrote: post #33

Earlier quoted context omitted.

At the bottom, in their coming soon section: "Customization: Securely extend ChatGPT’s knowledge with your company data by connecting the applications you already use"

I saw it, but it only mentions "applications" (whatever that means) and not bare documents. Does this mean companies might be able to upload, say, PDFs, and fine-tune the model on that?

Pretty unlikely. Generally you don't use fine-tuning for bare documents. You use retrieval augmented generation, which usually involves vector similarity search.

Fine-tuning isn't great at learning knowledge. It's good at adopting tone or format. For example, a chirpy helper bot, or a bot that outputs specifically formatted JSON.

I also doubt they're going to have a great system for fine-tuning. Successful fine-tuning requires some thought into what the data looks like (bare docs won't work), at which point you have technical people working on the project anyway.

Their future connection system will probably be in the format of API prompts to request data from an enterprise system using their existing function fine-tuning feature. They tried this already with plugins, and they didn't work very well. Maybe they'll come up with a better system. Generally this works better if you write your own simple API for it to interface with which does a lot of the heavy lifting to interface with the actual enterprise systems, so the AI doesn't output garbled API requests so much.

Re: ChatGPT Enterprise

#85

Post by SantalBlush »

ftxbro wrote: post #2

> For all enterprise customers, it offers: > Customer prompts and company data are not used for training OpenAI models. > Unlimited access to advanced data analysis (formerly known as Code Interpreter) > 32k token context windows for 4x longer inputs, files, or follow-ups I'd thought all those had been available for non enterprise customers, but maybe I was wrong, or maybe something changed.

> Customer prompts and company data are not used for training OpenAI models.

This is borderline extortion, and it's hilarious to witness as someone who doesn't have a dog in this fight.

Re: ChatGPT Enterprise

#86

Post by nsxwolf »

ftxbro wrote: post #2

> For all enterprise customers, it offers: > Customer prompts and company data are not used for training OpenAI models. > Unlimited access to advanced data analysis (formerly known as Code Interpreter) > 32k token context windows for 4x longer inputs, files, or follow-ups I'd thought all those had been available for non enterprise customers, but maybe I was wrong, or maybe something changed.

I'm going to see if the word "Enterprise" convinces my organization to allow us to use ChatGPT with our actual codebase, which is currently against our rules.

Re: ChatGPT Enterprise

#88

Post by gopher_space »

fdeage wrote: post #26

Interesting, but I am a bit disappointed that this release doesn't include fine-tuning on an enterprise corpus of documents. This only looks like a slightly more convenient and privacy-friendly version of ChatGPT. Or am I missing something?

Retrieval Augmented Generation would be something to check out. There was a good intro on the subject posted here a week or 3 ago.

Re: ChatGPT Enterprise

#90

Post by hammock »

ftxbro wrote: post #2

> For all enterprise customers, it offers: > Customer prompts and company data are not used for training OpenAI models. > Unlimited access to advanced data analysis (formerly known as Code Interpreter) > 32k token context windows for 4x longer inputs, files, or follow-ups I'd thought all those had been available for non enterprise customers, but maybe I was wrong, or maybe something changed.

>Customer prompts and company data are not used for training OpenAI models.

That's great. But can customer prompts and company data be resold to data brokers?

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