xAI’s Grok can now analyze x-rays and MRIs

xAIs Grok can now analyze x rays and MRIs


Grok, a productive artificial intelligence-based ChatGPT competitor signed by xAI, can now analyze x-rays and MRIs thanks to the update.

Making a statement about this development, Elon Musk said: quoted: “Try sending X-Ray, PET, MRI, or other medical images to Grok for analysis. This infrastructure is still at an early stage, but it is already providing very accurate results and will only get better in the future. Let us know about any bugs that Grok analyzed correctly or that need work.” These processors require serious server power, and the company is taking great steps for this. For those who missed it, Elon Musk announced last month that 100 thousand liquid-cooled Nvidia H100s (which were brought together with the support of xAI, X, Nvidia and some other companies)Very powerful GPU system focused on artificial intelligence training) announced that he started to work. The latest statement from Elon Musk on the subject is as follows: had happened: “This weekend the xAI team brought online our 100k H100 training cluster, which we call “Colossus”. This system was completed from start to finish in 122 days and Colossus is currently the most powerful artificial intelligence education system in the world.

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According to new information, this large system will be launched in the next two months. It will start hosting exactly 200 thousand Nvidia H100s. According to a claim, OpenAI CEO Sam Altman recently met with some Microsoft executives and told them that he was concerned that xAI would soon have access to more computing power than OpenAI.

Musk previously said, ““The infrastructure will provide a significant advantage in training the world’s most powerful artificial intelligence by every measure by December this year.” The center, which he explained, has strengthened the company’s hand in the training of large language models at the center of LLM, that is, generative artificial intelligence. Musk had previously said the following on this subject: “The reason we decided to build 100,000 H100s and the next big system in-house is because our competitiveness depends on being faster than other AI companies. This is the only way to bridge the gap. If our fate depends on being the fastest by far, we should be at the wheel rather than a backseat passenger.”

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