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New models and developer products

openai.com

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Re: New models and developer products

#91
post #71

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…

Embeddings are still important (context windows can't contain all data + memorization and continuous retraining is not yet viable), and vertical AI agent startups can still lead on UX.

Re: New models and developer products

#92
post #26

The 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.

I got access to Claude 2 - it’s really good and have been chatting with their sales team. Seems they were reasonably responsive- but overall with OpenAI 128k context and price anthropic has no edge

Re: New models and developer products

#93
post #71

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…

I haven't been paying attention, why are embeddings not needed anymore?

OP is incorrect. Embeddings are still needed since (1) context windows can't contain all data and (2) data memorization and continuous retraining is not yet viable.

Re: New models and developer products

#95
post #71

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…

depends on how much developers are willing to embrace the risk of building everything on OpenAI and getting locked onto their platform.

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

#96
post #71

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…

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

#98
post #71

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…

I haven't been paying attention, why are embeddings not needed anymore?

I believe their API can be stateful now: https://openai.com/blog/new-models-and-developer-products-an...

Re: New models and developer products

#99
post #96

Earlier 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"

Sorry to be blunt but they can be totally right, if you do not succeed and have to shut down your startup.
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