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ChatGPT Enterprise

openai.com

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Re: ChatGPT Enterprise

#141

Post by notavalleyman »

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…

Doesn't seem to be in a usable state yet. I created an account and realised there's not actually any features to play with yet. I gave a URL for scheduled reports but I cannot configure anything about them.

You didn't offer me any way to delete my account and remove the email address I saved in your system. I hope you don't start sending me emails, after not giving me an ability to delete the account

Re: ChatGPT Enterprise

#142

Post by bg24 »

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 think you missed this part:

ChatGPT Enterprise is also SOC 2 compliant and all conversations are encrypted in transit and at rest. Our new admin console lets you manage team members easily and offers domain verification, SSO, and usage insights, allowing for large-scale deployment into enterprise.

I think this will have a solid product-market-fit. The product (ChatGPT) was ready but not enterprise. Now it is. They will get a lot of sales leads.

Re: ChatGPT Enterprise

#143

Post by weinzierl »

happytiger wrote: post #105

Has there been some resolution to the copyright issues that I’m no aware of? In my conversations with execs that’s been a serious concern — basically that generated output from AI systems can’t be reliably protected. I refer to the concept that output could be deemed free of copyright because they are not created by a human author, or that derivative works can be potential liabilities because they resemble works that…

So, the point that AI output might be a derivative work of its input is finally dead? I thought what execs were really afraid of was the risk that copyright holders will come around after some time and claim rights on the AI output even if it is only vaguely similar to the copyrighted work.

Re: ChatGPT Enterprise

#144

Post by fdeage »

BoorishBears wrote: post #74
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?

You don't fine-tune on a corpus of documents to give the model knowledge, you use retrieval. They support uploading documents to it for that via that code interpreter, and they're adding connectors to applications where the documents live, not sure what more you're expecting.

Yes, but what if they are very large documents that exceed the maximum context size, say, a 200-page PDF? In that case won't you be forced to do some form of fine-tuning, in order to avoid a very slow/computationally expensive on-the-fly retrieval?

Edit: spelling

Re: ChatGPT Enterprise

#146

Post by swores »

shmoogy wrote: post #134
swores wrote: post #113

Earlier quoted context omitted.

I still have access in my $20/m non-Enterprise Pro account, though it has indeed just updated its name from Code Interpreter to Advanced Data Analysis. I haven't personally noticed it being any better than standard GPT4 even for generation of code that can't be run by it (ie non-Python code).

I've been using it heavily for the last week - hopefully it doesn't become enterprise only... it's very convenient to pass it some examples and generate and test functions. And it does seem "better" than standard 4 for normal tasks

Ah I'd better start using it more again and see if I find it better too

Re: ChatGPT Enterprise

#147

Post by fdeage »

kenjackson wrote: post #136
mediaman wrote: post #82

Earlier quoted context omitted.

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-tunin…

When I first started working with GPT I was disappointed in this. I thought like the previous commentor that I could fine tune by adding documents and it would add it to the "knowledge" of GPT. Instead I had to do what you suggest is vector similarity search, and add the relevant text to the prompt. I do think an open line of research is some way for users to just add arbitrary docs in an easy way to the LLM.

Yes, this would definitely be a game changer for almost all companies. Considering how huge the market is, I guess it's pretty difficult to do, or it would be done already.

I certainly don't expect a nice drag-and-drop interface to put my Office files and then ask questions about it coming in 2023. Maybe 2024?

Re: ChatGPT Enterprise

#148

Post by SanderNL »

nsxwolf wrote: post #86
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.

No copilot too?

Re: ChatGPT Enterprise

#149

Post by Difwif »

fdeage wrote: post #144
BoorishBears wrote: post #74

Earlier quoted context omitted.

You don't fine-tune on a corpus of documents to give the model knowledge, you use retrieval. They support uploading documents to it for that via that code interpreter, and they're adding connectors to applications where the documents live, not sure what more you're expecting.

Yes, but what if they are very large documents that exceed the maximum context size, say, a 200-page PDF? In that case won't you be forced to do some form of fine-tuning, in order to avoid a very slow/computationally expensive on-the-fly retrieval? Edit: spelling

Typical retrieval methods break up documents into chunks and perform semantic search on relevant chunks to answer the question.

Re: ChatGPT Enterprise

#150

Post by air7 »

vidarh wrote: post #15
ftxbro wrote: post #12

Earlier quoted context omitted.

Which part of that is new, because I was pretty sure they were saying "we do not train on your business data or conversations, and our models don’t learn from your usage" already. Maybe the SOC 2 and encryption is new?

They don't train on data when you either use the API or disable chat history, which is inconvenient.

Really? This seems like one Chrome extension away...
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