Elastic Compute Service (ECS)
Lingma
Use LLMs to understand, analyze, and process data
Uses LLM inference services provided by Alibaba Cloud Model Studio to recognize and parse text, images, audio, and videos and explores values, extracts content, generates analysis reports, and creates digests from structured data. You can run offline jobs in batch processing mode to improve the efficiency of large-scale data processing and reduce the implementation cost of your businesses by 50%.
Text Extraction
Use LLMs to understand, recognize, classify, extract, verify, and analyze large amounts of text data, which is suitable for text content processing related scenarios.
Image Content Extraction
Use LLMs to analyze image data, which is suitable for processing security protection images for enterprises, online commodity images, and public opinion images.
Video Content Extraction
Use LLMs to analyze large amounts of video data, which is suitable for video processing in e-commerce, social media, and security industry.
Text Extraction
Use LLMs to understand, recognize, classify, extract, verify, and analyze large amounts of text data, which is suitable for text content processing related scenarios.
Image Content Extraction
Use LLMs to analyze image data, which is suitable for processing security protection images for enterprises, online commodity images, and public opinion images.
Video Content Extraction
Use LLMs to analyze large amounts of video data, which is suitable for video processing in e-commerce, social media, and security industry.
Experience multimodal content extraction solutions for text, images, and videos
Text Extraction
OCR-based Info Extraction from Images
Video Understanding and Content Extraction
The following figure shows the website runtime environment built on Alibaba Cloud after the solution is deployed. You can modify specific settings based on resource planning in actual deployment scenarios. However, the resulting runtime environment is similar to the environment shown in the following figure.
Solution Overview:
This solution uses compute resources, such as Function Compute in this example, to create web services to receive user requests. Text and prompts are sent from Function Compute to Alibaba Cloud Model Studio and processed by the text model qwen-turbo. Then, the model returns the final results to users.
Estimated Time:
Around 20 minutes to deploy
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