☁️ 5 Ways OpenAI Will Revolutionise Azure
🤔 Some ideas, from the sane to the zany
What’s the announcement?
As the above very much suggests, Microsoft has now opened up its Azure OpenAI service to all Azure customers. Well, there’s a waitlist you can join.
Microsoft is investing $10 billion in OpenAI at the same time it is cutting 10,000 jobs.
Its relationship with OpenAI is a classic case of a big enterprise outsourcing its innovation, but keeping the smaller firm within its orbit. This has allowed Microsoft to benefit while minimising risk.
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Google is also cutting 10,000+ jobs.
Nonetheless, rumour has it that Google is set to “relax” its policy on generative AI to get an OpenAI rival to market as soon as possible. Google has kept its generative AI development in-house, which helps to explain its reluctance to launch a ChatGPT rival before it can guarantee its effectiveness.
It seems that Microsoft’s progress has forced Google’s hand. Just this week, Google released its latest generative AI research and you can be sure there’s a hi, tech. for that.
But we’re here to look at Microsoft Azure:
Azure is a cloud computing platform and infrastructure created by Microsoft for building, deploying, and managing applications and services through Microsoft-managed data centers.
The Azure OpenAI service currently supports GPT-3, Codex, Large Language Model (LLM) embeddings, and DALL-E 2 - and will soon add support for ChatGPT.
ChatGPT is trained using reinforcement learning from human feedback (RLHF), which means it has some human guidance through annotations as well as a lot of training data. I mention this for a reason, as you’ll see.
Why does it matter?
And what will OpenAI be used for in Azure? 🤔
We can start to answer those questions through two images.
First, this eye-testing visualisation of the generative AI landscape today:
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