Amazon may release its new multi -modal large -scale language model "Olympus" at the AWS Re: Invent conference next week. Earlier reports have said that Amazon has invested heavily in developing the model with a number of than 2 trillion yuan. The power of "Olympus" lies in its multi -modal processing ability, which can handle text, images and videos, and support natural language instructions for video search. This will be a revolutionary change for geological data analysis of various industries, such as the energy industry. This article will in -depth analysis of the function, application scenarios, and its impact on Amazon's artificial intelligence strategy.
Amazon has recently been reported to be developing a multi -mode large -scale language model called "Olympus". It is expected to be officially released at the AWS Re: Invent conference next week. According to TheInformation, the internal code of this algorithm is "Olympus".
In November last year, "Reuters" reported that Amazon invested millions of dollars in the large language model of training named "Olympus", with a model parameter of up to 2 trillion. As for whether the model mentioned in this report is the same as the previous "Olympus", or its new version, or a new system, it is still unclear.
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It is reported that the new "Olympus" model can not only process text, but also process images and videos. This means that users can search for specific fragments in the video library through natural language instructions. In addition, the model is considered to help energy companies analyze geological data. This shows that "Olympus" has extensive application potential.
The source of TheinFormation's source predicts that Amazon may announce this new model at the AWS Re: Invent conference next week. If "Olympus" is really released at the conference, it is likely to be provided through the Amazon Network Services (AWS), which may be part of the AWS Bedrolk. AWS Bedrolk is a custody service launched by Amazon last April. Users can access the front -edge model of cloud hosting.
At present, the service has provided more than six models of Amazon development. The most advanced model is Amazon Titan Text Premier. It supports up to 32,000 labels inputs, can generate text and code, and can perform gradual reasoning analysis.
BEDROCK also includes three models developed by Amazon. These models provide information storage mathematical structure for machine learning applications. One of the models supports multi -mode data embedded generation, which may make customers more convenient when using the multi -mode function of "Olympus".
In addition to Amazon's self -developed model, Bedrock also provides language models of other companies, including Anthropic PBC, which is closely related to Amazon. Recently, Anthropic has received US $ 8 billion of financing from Amazon, of which $ 4 billion announced last week is particularly noticeable.
The release of the "Olympus" model may be a way of reducing Anthropic to Anthropic. At the same time, other technology giants are also trying to internalize more artificial intelligence technology, such as Meta is developing its own search engine to reduce dependence on Microsoft and Google search technology.
Amazon's artificial intelligence strategy is not limited to software, but also includes hardware. The company has developed two chip series for training and reasoning workload optimizations: AWS Trainium and AWS Inferentia. Last week, Anthropic also reached a cooperation with Amazon to improve the performance of the Tranium chip.
Points:
Amazon is developing a multimodal language model named "Olympus" and is expected to be released at the AWS Re: Invent conference next week.
The new model can handle text, images, and videos, and support specific fragments in the natural language search video library.
"Olympus" may be provided through the AWS Bedrolk service. At the same time, Amazon's AI strategy also includes a hardware layout.
All in all, the release of "Olympus" will marked an important step in Amazon in the field of artificial intelligence, and its multi -mode ability and potential application scenarios are expected. This also indicates that Amazon's competition in the AI field is becoming increasingly fierce, and future development is worthy of attention.