A problem with data processing in Lyft becomes the final basis


when The most will Firmhu and Jay Chia work as software engineers in Soundry Fidhu and Jay Chia.

Personal cars produce a lot of data not composed of text and photos from 3D scans and photos. For the Lyft engineers, all these different facts are understandable and not a tool for the tools that can be understood and able to perform. These left engineers to organize open resource equipment together with a long process of rooting issues with rounder increase issues.

“We have done all the bright phds throughout the industry. And many of these problems they are facing the infrastructure around the infrastructure.”

Sidhu and Chia built the local multimododal data processing tool for Lyft. When Sidhu relevant to other tasks, he asked the interviewees the potential to build the same information for their companies.

နောက်ဆုံးတွင်နောက်ဆုံးတွင်စာသားမှအသံနှင့်ဗွီဒီယိုများသို့ကွဲပြားခြားနားသောပုံစံများကိုအလျင်အမြန်လုပ်ဆောင်ရန်ဒီဇိုင်းပြုလုပ်ရန်ဒီဇိုင်းပြုလုပ်ထားသော Python-Native Open Source Data Data data data data data data data data data data data data data data data data data data data data processing olution ကိုတည်ဆောက်ခဲ့သည်။ Sidhu said that the goal was to transform the transformation of the SQL into the infrastructure of the data infrastructure in the past.

Established in early 2022, it has been established a year before the release of ChatGT, and most people notice this infrastructure gap. They started the first open source diary in 2022 and preparing to open a business product in the third quarter.

“The chatgpt's explosion was a lot of other folks, and everyone wanted to use things like images and documents for their applications. That's what we have seen in their applications.

The original advice behind the construction project is being loaded by the autonomous vehicle. There are many other industries that produce multimodal information, including retail technology and healthcare. At the moment, the company counts Amazon, Cloudkitchens and AI.

Finally, it was finally funded in eight months in eight months. First one is a 7.5 million seed led by CRV. The recent company recently received $ 20 million with Miclesoft's M12 and Citi participation.

This latest environment will increase the latest source of open resources and create a commercial product.

General partner Astasia Myers in Felicis told TechCrunch that a marketplace exercise came out of a marketplace ledder exercise that could find data infrastructure supporting multimodal AI models.

Myers will come up with the first flower in space and the founders will increase. She added that he was also added to solve the increasing problem.

Multimodal AI is predicted to grow in an industry 35% combined annual growth Between 2023 and 2028 under Management Consultant Companies.

In the past 20 years, 1000 data generations are 1000x. In the past two years, 90% of the world data has been produced. Text, picture, This huge macro's new macro trail of macro, which is being built in the construction of video and audio. You need a multimodal-Nata Nature Processing Engine. “



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