31–40 of 532 posts
I thought that Microsoft was busy with enterprises yet OpenAI announces a product for enterprises. I have a feeling that the two do not get along
Or maybe they got urged to offset more operational costs - and I would believe that companies already paying for Microsoft things Wille happily pay for OpenAI in addition just to be safe.
Why can't I, as an individual, have the same features of an Enterprise plan?
What is the logic behind this practice other than profit maximization?
I'm willing to pay more to have unlimited high-speed GTP4 and Longer inputs with 32k token context.
EDIT: since I'm getting a lot of replies. Genuine question: how should I move to get a reasonable price as an individual for unlimited high-speed gpt4 and longer token context?
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?
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.…
I can see some companies not having the technical ability to pull off offline LLMs, so this product could cater to that market.
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.…
most teams don't want to self-host, and definitely don't want to have to run on-device eating up their ram
Is it really so hard for companies to provide a price range for Enterprise plan publicly on the pricing page? Why can't I, as an individual, have the same features of an Enterprise plan? What is the logic behind this practice other than profit maximization? I'm willing to pay more to have unlimited high-speed GTP4 and Longer inputs with 32k token context. EDIT: since I'm getting a lot of replies. Genuine question: ho…
That’s a real big “other than”…
Is it really so hard for companies to provide a price range for Enterprise plan publicly on the pricing page? Why can't I, as an individual, have the same features of an Enterprise plan? What is the logic behind this practice other than profit maximization? I'm willing to pay more to have unlimited high-speed GTP4 and Longer inputs with 32k token context. EDIT: since I'm getting a lot of replies. Genuine question: ho…
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.…
I can imagine this argument being made repeatedly over the past several decades whenever anyone makes a decision to use any paid cloud service. There is a value in self-hosting FOSS services and managing it in house and there is a value in letting someone else manage it for you. Ultimately it depends on the business use case and how much effort / risk you are willing to handle.