Page 292 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

2�3 Future Work

Continuously optimize the AI intelligent middle platform, deepen the research of large
model technology, improve the development of tools and products, and build an ecology to
strengthen the industry, academia, and research.

In terms of products, we have improved the product development process, strengthened the
user experience and performance of products, and improved the product promotion model.
We have established a standardized process for the implementation of intelligent bodies, and
formulated a standard specification for the implementation of intelligent body scenarios, “three
stages and nine processes”, which covers the research stage, the intelligent body design and
implementation stage, and the operation and iteration stage, respectively.

In terms of technology, in the direction of linguistic big models, we have studied big model
intelligent body technology and established an intelligent body platform; in the direction
of visual big models, we have established a synergistic process for large and small models,
and fully fine-tuned the multimodal big models; in the direction of big model production
standardization and training, we have expanded the types of visual big models, multimodal big
model applications, and arithmetic support, and built a standardization and training platform
integrating big and small models.

3 Use Case Requirements

• REQ-1: It is critical to establish standard training and push integration, low-code
development platform covering the full lifecycle workflow of AI model production.
• REQ-2: It is of added value to formulate a standard specification for the implementation
of intelligent body scenarios, “three stages and nine processes” [4], which covers the
research stage, the intelligent body design and implementation stage, and the operation
and iteration stage, respectively.
• REQ-3: It is expected that the platform would reduce the technical threshold of AI
modelling and application engineering, boost the scale of AI large model application,
and promote the process of AI+ action in various industries, this case establishes a set of
one-stop modelling and application toolchain platform covering the whole process of AI,
providing full-stack services and realizing the efficient sharing of data, arithmetic power,
models, tools, and applications.

256