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That's fine, but this post is for a course on developing generative AI applications.


Developing generative AI ‘application’ on microsoft’s land and terms. A lot of concepts here tie one to microsoft. The OPs post is a good conceptual primer that isn’t mentioned or explained in this tutorial.


> A lot of concepts here tie one to microsoft.

You're not kidding, they tout their "Microsoft for Startups" offering but you cannot even get past the first step without having a LinkedIn.

On another note, OPs post above (not TFA) may as well be taglined "the things OpenAI and Microsoft don't want you to see" - I'm willing to bet that it will be a long, long time before Microsoft and OpenAI are actually interested in educating the public (or even their own customers) about how LLMs actually work - the ignorance around this has played out massively to their favor.


> this post is for a course on developing generative AI applications

Using Microsoft/OpenAI ChatGPT and Azure.

There's a much wider world of AI, including an extremely rich open source world.

Side note: it feels like the early days of mobile. Selling shovels to existing companies to add "AI". These won't be the winners, but rather products that fully embrace AI in new workflows and products. We're still incredibly early.

As far as the tool makers go, there are so many shovels being sold that it looks like it'll be a race to zero margin. Facebook announced Emu, and surprise, next day Stable Video comes out. ElevenLabs raised $30M, all of their competitors did too, and Coqui sells an on-prem version of their product.

Maybe models are worth nothing. Maybe all the value will be in how they're combined.

This field is moving so fast. Where will the musical chairs of value ultimately stop and sit?




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