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HomeTechnology peripheralsAIMicrosoft takes action again, with news that it will invest billions of dollars in mining transformation companies to provide computing power for AI

After officially investing in OpenAI, Microsoft’s related software announced one by one that it would be equipped with ChatGPT. With the increase in users, OpenAI and many users have found that they want better feedback and learning effects of the robot system. Machine learning capabilities need to be increased, which means the overall computing power needs to be increased.

Microsoft takes action again, with news that it will invest billions of dollars in mining transformation companies to provide computing power for AI

But just today, during an interview with OpenAI CEO in Europe, he discussed OpenAI’s API and product plans, which attracted the attention of many netizens.

What attracted the attention of many friends was his discussion on the progress of AI. According to him, in addition to normal AI iterations, GPT-3 is also in OpenAI’s open source plan, but currently GPUs can no longer keep up.

And according to previous introductions, the multi-modal capabilities of GPT-4 should be available to most Plus users in 2024, but at present, the premise is that there is enough GPU computing.

The previous $1.2 billion supercomputer built by Microsoft for OpenAI is far from being able to meet the computing power required for the current GPT-4 runtime.

As a solver of computing power, Microsoft has also begun to provide more help with the computing power required for the development of ChatGPT.

Microsoft takes action again, with news that it will invest billions of dollars in mining transformation companies to provide computing power for AI

Today’s news, Microsoft announced that it will invest billions of dollars in the artificial intelligence start-up CoreWeave. The two parties will jointly build artificial intelligence computing infrastructure through the Microsoft Azure cloud service platform.

According to reports, Microsoft will provide funding and Azure cloud service resources for this cooperation. Microsoft hopes to provide more computing resources for artificial intelligence by leveraging CoreWeave's GPU virtualization technology. The report pointed out that the agreement signed between Microsoft and CoreWeave includes provisions on OpenAI. CoreWeave will help ChatGPT improve artificial intelligence performance through cloud collaborative computing.

Microsoft takes action again, with news that it will invest billions of dollars in mining transformation companies to provide computing power for AI

Currently, CoreWeave provides virtualized computing power through NVIDIA A100 and A40 GPU clusters. It recently announced the construction of NVIDIA H100 cluster to provide higher artificial intelligence computing power. Previously, NVIDIA has invested US$100 million in CoreWeave. .

In other words, the computing power required for AI connects the three companies Microsoft, CoreWeave and NVIDIA.

According to the official introduction, GPT-4 is a very large multi-modal model, that is to say, its input can be text or images.

GPT-4 is "bigger" than the previous version, meaning it has been trained on more data than the previous version of the model and has more weights in the model file, making it run The cost is higher.

Microsoft takes action again, with news that it will invest billions of dollars in mining transformation companies to provide computing power for AI

GPT-4 performs better than previous versions of the model in terms of tasks, it can follow complex instructions in natural language and generate technical or creative content, and it can do this even more deeply: it supports Generate and process up to 32,768 tokens (approximately 25,000 text words), enabling longer content creation or text analysis than its predecessors.

OpenAI stated that GPT-4 has fewer wrong answers, will also reduce the possibility of deviating from the topic, and will try not to talk about taboo topics. It even performs better than humans in many standardized tests.

At present, GPU has limited the rapid development of AI. As for the subsequent development, interested friends need to pay attention.

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