GPT-3: Introduced by OpenAI in mid-2020, GPT-3 had 175 billion parameters initially.
GPT-4: While specific figures haven’t been officially shared, GPT-4 is larger than GPT-3. Some reports suggest it has 1.76 trillion parameters.
Gemini Ultra: Google’s model, which performs similarly to GPT-4, allegedly has 1.6 trillion parameters.
MAI-1’s configuration positions it as an intermediate option between GPT-3 and GPT-4.
It offers great response accuracy while using less energy than OpenAI’s flagship, resulting in lower inference costs for Microsoft.
The development of MAI-1 is being supervised by Mustafa Suleyman, who co-founded DeepMind (Google’s AI research team) and joined Microsoft in March.
The model’s training dataset likely includes text generated by GPT-4 and web content.
Microsoft is using a “large cluster of servers” equipped with Nvidia graphics cards for the development process.
While it may be too complex for consumer devices like mobile phones,
MAI-1 could find its place in Microsoft’s data centers,
integrated into services like Bing and Azure
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