Do you get uncensored answers with this? Oftentimes it produces false positives for my workload, and i dont care for feedback buttons during work hours.
ChatGPT Enterprise
131–140 of 532 posts
Re: ChatGPT Enterprise
#132Earlier 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.
Re: ChatGPT Enterprise
#133Earlier quoted context omitted.
Ollama is very neat. Given how compressible the models are is there any work being done on using them in some kind of compressed format other than reducing the word size?
Yes, AutoGPTQ supports this (8, 4, 3, and 2 bit quantization/"compression" of weights + inference). GPTQ has also been merged into Transformers library recently ( https://huggingface.co/blog/gptq-integration ). GGML quantization format used by llama.cpp also supports (8,6,5,4,3, and 2 bit quantization).
Re: ChatGPT Enterprise
#134Earlier quoted context omitted.
Also I'd heard anecdotally on the internet (Ethan Mollick's twitter I think) that 'code interpreter' was better than GPT 4 even for tasks that weren't code interpretation. Like it was more like GPT 4.5. Maybe it was an experimental preview and only enterprises are allowed to use it now. I never had access anyway.
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).
And it does seem "better" than standard 4 for normal tasks
Re: ChatGPT Enterprise
#135How is this different from using GPT api on Azure? I thought that allowed you to keep you data corpus/documents private as well, ie not get sent to their servers for training
Re: ChatGPT Enterprise
#136Earlier quoted context omitted.
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-tunin…
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.
Re: ChatGPT Enterprise
#137Re: ChatGPT Enterprise
#138Any correlation between this and the sudden disappearance of this repo? https://github.com/microsoft/azurechatgpt Past discussion: https://news.ycombinator.com/item?id=37112741
Re: ChatGPT Enterprise
#139"Unlimited access to advanced data analysis (formerly known as Code Interpreter)" Code Interpreter was a pretty bad name (not exactly meaningful to anyone who hasn't studied computer science), but what's the new name? "advanced data analysis" isn't a name, it's a feature in a bullet point.