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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.
Earlier quoted context omitted.
I believe the API (chat completions) has been private for a while now. ChatGPT (the chat application run by OpenAI on their chat models) has continued to be used for training… I believe this is why it’s such a bargain for consumers. This announcement allows businesses to let employees use ChatGPT with fewer data privacy concerns.
You can turn off history & training on your data
Earlier quoted context omitted.
You can turn off history & training on your data
Yes they bundled it under single dark pattern toggle so most people won’t click it.
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 were used for training data or whatnot (and we have no idea what was really used to train).
There was the recent court decision confirming:
https://www.cooley.com/news/insight/2023/2023-08-24-district...
Seems odd to start making AI systems a data-at-the-center-of-the-company technology when such basic issues exist.
Is this not a concern anymore?
> 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.
everything but 32k version and 2x speed is the same as the consumer platform
Having conversations saved to go back to like in the default setting on Pro, that's disabled when a Pro user turns on the privacy setting, is another big difference.
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…
> 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.
Seems like they are quite startled with LLama 2 and Code Llama, and how its rapid adoption is accelerating the AI race to zero. Why have this when Llama 2 and Code Llama exists and brings the cost close to $0? This sound like a huge waste of money for something that should just be completely on-device or self-hosted if you don't trust cloud-based AI models like ChatGPT Enterprise and want it all private and low cost.…
If you could offer stable 70B llama API at half the price of ChatGPT API I would pay for it. I know HN likes to believe everything is close to $0, but it is hardly the case.
Any correlation between this and the sudden disappearance of this repo? https://github.com/microsoft/azurechatgpt Past discussion: https://news.ycombinator.com/item?id=37112741
Seemed like a great project. Hope to see it come back! There are some great open-source projects in this space – not quite the same – many are focused on local LLMs like Llama2 or Code Llama which was released last week: - https://github.com/jmorganca/ollama (download & run LLMs locally - I'm a maintainer) - https://github.com/simonw/llm (access LLMs from the cli - cloud and local) - https://github.com/oobabooga/text…
- https://github.com/trypromptly/LLMStack (build and run apps locally with LocalAI support - I'm a maintainer)