Every day this video ages more and more poorly [1]. categories of startups that will be affected by these launches: - vectorDB startups -> don't need embeddings anymore - file processing startups -> don't need to process files anymore - fine tuning startups -> can fine tune directly from the platform now, with GPT4 fine tuning coming - cost reduction startups -> they literally lowered prices and increased rate limits…
New models and developer products
91–100 of 561 posts
Re: New models and developer products
#92The 128k context window GPT-4 Turbo model looks unreal. Seems like Anthropic's day of reckoning is here?
Anthropic never even had a day. I said this before in another Anthropic thread but I signed up 6 months ago for API access and they never responded. An employee in that thread apologized and said to try again, did it, week later still nothing. As far as commercial viability, they never had it.
Re: New models and developer products
#93Every day this video ages more and more poorly [1]. categories of startups that will be affected by these launches: - vectorDB startups -> don't need embeddings anymore - file processing startups -> don't need to process files anymore - fine tuning startups -> can fine tune directly from the platform now, with GPT4 fine tuning coming - cost reduction startups -> they literally lowered prices and increased rate limits…
I haven't been paying attention, why are embeddings not needed anymore?
Re: New models and developer products
#94There are a lot of huge announcements here. But in particular, I'm excited by the Assistants API. It abstracts away so many of the routine boilerplate parts of developing applications on the platform.
Re: New models and developer products
#95Every day this video ages more and more poorly [1]. categories of startups that will be affected by these launches: - vectorDB startups -> don't need embeddings anymore - file processing startups -> don't need to process files anymore - fine tuning startups -> can fine tune directly from the platform now, with GPT4 fine tuning coming - cost reduction startups -> they literally lowered prices and increased rate limits…
What's stopping OpenAI from cranking up the inference pricing once they choke out the competition? That combined with the expanded context length makes it seem like they are trying to lead developers towards just throwing everything into context without much thought, which could be painful down the road
Re: New models and developer products
#96Every day this video ages more and more poorly [1]. categories of startups that will be affected by these launches: - vectorDB startups -> don't need embeddings anymore - file processing startups -> don't need to process files anymore - fine tuning startups -> can fine tune directly from the platform now, with GPT4 fine tuning coming - cost reduction startups -> they literally lowered prices and increased rate limits…
If you want to be a start-up using AI, you have to be in another industry with access to data and a market that OpenAI/MS/Google can't or won't touch. Otherwise you end up eaten like above.
Why? Because they lack specificity. We're domain experts, we know how to prompt it correctly to get the best results for a given domain. The moat is having model do one task extremely well rather than do 100 things "alright"
Re: New models and developer products
#97Re: New models and developer products
#98Every day this video ages more and more poorly [1]. categories of startups that will be affected by these launches: - vectorDB startups -> don't need embeddings anymore - file processing startups -> don't need to process files anymore - fine tuning startups -> can fine tune directly from the platform now, with GPT4 fine tuning coming - cost reduction startups -> they literally lowered prices and increased rate limits…
I haven't been paying attention, why are embeddings not needed anymore?
Re: New models and developer products
#99Earlier quoted context omitted.
If you want to be a start-up using AI, you have to be in another industry with access to data and a market that OpenAI/MS/Google can't or won't touch. Otherwise you end up eaten like above.
We just launched our AI-based API-Testing tool ( https://ai.stepci.com ), despite having competitors like GitHub Co-Pilot. Why? Because they lack specificity. We're domain experts, we know how to prompt it correctly to get the best results for a given domain. The moat is having model do one task extremely well rather than do 100 things "alright"
Re: New models and developer products
#100My profit margins at https://olympia.chat just got 3x better <3