So i guess the next wave of startups has been killed. I'm not even sure what kind of startup still makes sense as a gpt thin wrapper?
It happened with hardware, operative systems, web tools such as maps etc.
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So i guess the next wave of startups has been killed. I'm not even sure what kind of startup still makes sense as a gpt thin wrapper?
It happened with hardware, operative systems, web tools such as maps etc.
So these "GPTs" are the combination of predefined prompts and custom API access? Not customly trained LLMs? If so, I guess you can make such a "GPT" on your own server and independent from a specific LLM service by using a prompt like ...you have available an API "WEATHER_API". If you need the weather for a given city for a given day, please say WEATHER_API('berlin', '2022-11-24') and I will give you a new prompt inc…
If you want to be independent for academic/personal reasons, sure you can. If you want reasoning capabilities that Open Source hasn't matched before today, and I'm guessing just got blown out of the water on again today... there's no reason to bother.
Earlier quoted context omitted.
I’m not clear who the market is? Why someone buy one?
Imagine a "GPT" that could generate websites and provide you with a live deployment as you change it using natural language. A website builder GPT that is primed to output and design in a decent way, that has all the prep beforehand to use particular libraries, and integrations with something like Render. People would pay for that. Sh--... I better build it!
New models and developer products - https://news.ycombinator.com/item?id=38166420
OpenAI DevDay, Opening Keynote Livestream [video] - https://news.ycombinator.com/item?id=38165090
Earlier quoted context omitted.
I’m not clear who the market is? Why someone buy one?
Imagine a "GPT" that could generate websites and provide you with a live deployment as you change it using natural language. A website builder GPT that is primed to output and design in a decent way, that has all the prep beforehand to use particular libraries, and integrations with something like Render. People would pay for that. Sh--... I better build it!
So these "GPTs" are the combination of predefined prompts and custom API access? Not customly trained LLMs? If so, I guess you can make such a "GPT" on your own server and independent from a specific LLM service by using a prompt like ...you have available an API "WEATHER_API". If you need the weather for a given city for a given day, please say WEATHER_API('berlin', '2022-11-24') and I will give you a new prompt inc…
The lack of transparency for how the product works behind the scenes will most likely make it difficult to build something effectively.
This will most likely be like the google play store with a 99% of GPTs being a repackaged public prompt.
Can anyone explain what "extra knowledge" means specifically? Is that like fine tuning? How much data can I give it to learn? How much can it retain? Can it be updated over time?
Can anyone explain what "extra knowledge" means specifically? Is that like fine tuning? How much data can I give it to learn? How much can it retain? Can it be updated over time?