SenseTime's new large-scale model system capability upgrade

At the recently held World Artificial Intelligence Conference, Xu Li, chairman and CEO of SenseTime, brought some recent system capability upgrades of the new SenseTime model. Let us take a look at the changes in this upgrade.

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SenseChat 2.0 fully upgrades the large language model capabilities

Model basic ability improvement

  • The basic ability of the model has been greatly improved

  • New regional languages ​​(support Arabic, Cantonese, etc.)

  • Break through the input length limit of large language models

new service features

  • Newly added knowledge fusion interface,

  • Optimization based on knowledge base capabilities

  • model hallucination

LLM model system

  • lS small model version 1.0

  • lXL large model version 2.0

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SenseMirage 3.0 fully upgrades the Vincent diagram large model

Lightweight Painting Customization

Everyone can easily (just drag and drop) and quickly (within 10 minutes) fine-tune the model, and customize their own personal generated AI.

intelligent description mode

Using the large language model as a bridge, the "complex description" is simplified into "a simple prompt word", and a picture with rich content can be generated.

Photographic Image Reproduction

Comparable to a professional photographer's level of filming, the details and elements of the image are truly realized

With the self-developed large-scale model (7 billion parameters as the base), the imagination of AI painting is endless.

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AI code assistant: performance is improved in an all-round way, and the accuracy exceeds GPT3.5

AI FOR AI New 28th Law: Code = 80% AI Generation + 20% Artificial

  • HumanEval test set pass rate 48.7% (GPT 3.5 48.1%)

  • Code generation speed per token: 25ms

  • Reasoning throughput: 1.9kTokens per second

1.0

Code completion, code extension, code translation, code refactoring, code correction, comment generation code, complexity analysis, test case generation

2.0

  • Multiple rounds of dialogue, adding comments to the code, explaining the code, and filling in the middle of the text...

  • Code writing efficiency increased by 78%

  • Multiple rounds of dialogue, better interactive experience

  • Performance improvement, higher coding efficiency

  • Chinese enhancement, more in line with the habits of Chinese developers

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Ronin: comprehensive improvement of digital human performance

  • Flow generation: simultaneous input and output, double the efficiency

  • Multilingual accuracy improvement: English, Korean, Japanese, Arabic, etc. increase the accuracy of more than 30% languages

  • Cinematic Clarity: 4K HD Digital Human Video

  • Complex environment support: distance range, face angle greatly improved

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Qiongyu 2.0 digital twin application platform algorithm upgrade

Centimeter level reconstruction accuracy:

  • Outdoor: Accuracy of 5 cm (1%) per 10,000 square meters

  • Indoor: Accuracy of 1 cm (1.5%) per 1000 square meters

Efficient real-time rendering

  • The reconstruction efficiency increased by 20%, and the construction time of 100 square kilometers was 38 hours

  • Rendering performance is improved by 50%, and the 1080p resolution rendering of a single card can reach real-time

Rich Asset Features

  • Support output model surface depth

  • Support synchronous generation of 3D Mesh model

  • Support weather environment simulation

  • Support NeRF semantic analysis

  • Support CGCS2000 national geodetic coordinate information alignment

  • Support ground-air data fusion

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Gewu 2.0

Algorithm upgrade

More detailed, millimeter level, more material support - high reflection, more light and shadow control

Commodity 3D digitization

Automobiles, jewelry, cosmetics, home decoration, home appliances, clothing and other types can be displayed in 3D digital form.

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Origin blog.csdn.net/specssss/article/details/131645484