On the afternoon of Saturday, November 18, 2023, the "Sixth Stop on the Road to AGI - The Collision of Large Model-Driven Low-Code Development and Financial Technology" Forum, which was hosted by Rongcheng Digital and co-sponsored by Dinghao DH3, the Suzhou High-Speed Railway New City (Beijing) Digital Financial Innovation Center, "Dinghao-Ultra Cross Connects", the Zhongguancun Ultra Cross Connects New Infrastructure Industry Innovation Alliance, and the Photosynthesis Shop, was successfully held at Dinghao DH3 in Zhongguancun.

This event brought together technical experts, entrepreneurs, and corporate executives in the fields of massive models, financial technology, and low-code development, aiming to facilitate in-depth exchange and discussion on the practical applications of technology that combine low-code development and large models in financial technology and other fields. The event is divided into three topics to allow for content sharing and interactive discussion. The three topics are the underlying logic of large models, low-code development, and implementation cases of large models and low-code technology in the financial technology field.

Topic 1

The underlying logic of large-model AI

The speakers introduced the underlying logic of the large model in detail across 5 dimensions. Selecting a large model suitable for your business scenario should be based on the 5 dimensions of the type of the large model (open source or closed source, its base code, different operating modes), the evaluation results, cost, benefits, and safety compliance.

The speakers then shared their experiences at the OpenAI press conference, discussed how to select large models suitable for different business scenarios, and the key paths for enterprises to introduce large models into their business. Here are three viewpoints presented on the OpenAI press conference:

Viewpoint 1: Regardless of whether it is a large model or a small model, the model that fits is best.

Viewpoint 2: AI Agent technology offers more space to imagine applications of large models.

Viewpoint 3: Large model technology is only a milestone on the road to AGI, and the future holds broad prospects for development.

Topic 2

Large model-driven low-code development

The speakers explained large model-driven low-code development technology, large model code generation principles, and common tools from a professional and technical perspective. Low-code development is a development approach that has come to prominence in recent years which aims to make application development faster and simpler through the use of visual tools and minimal manual coding. Generative large model technology, meanwhile, has attracted significant attention for its powerful capabilities in the areas of code generation and semantic understanding. Low code generation technology driven by large models can bring about huge efficiency improvements for developers and business staff.

Topic 3

Implementations of large-model low-code technology in the financial technology field

Tony.Ma, a data algorithm engineer from a leading financial company, used actual cases to analyze the combination of large-model low-code development and financial business scenarios from the perspective of large model technology in finance applications, especially applications in investment research. He also shared extensively on the future development of AI Agent in the investment research field. In the digital age, every institutional investor can have an exclusive AI Agent to serve as a research assistant. Based on the tasks and scenarios required by investment research work, alongside AI capabilities and technology trends, the capabilities of AI Agent can be divided into three stages: "data processing", "task execution" and "general assistant".

At the same time, Mr. Yang from Suzhou High-Speed Railway New City (Beijing) Digital Financial Innovation Center also spoke on how financial technology can empower industry development.

Dinghao Ultra Cross Connects AGI Technology Ecosystem Innovation Space

Dinghao Ultra Cross Connects's "AGI Technology Ecological Innovation Space" was co-created by Dinghao DH3 and Neolink. This space continues to attract first-line AI companies and talent from across the country, and brings together market intelligence computing resources, scientific research resources, financial resources, market resources, and community resources to provide new infrastructure that covers everything from training to inference in all applications as we work towards AGI. We are committed to becoming the "booster" and "accelerator" for AGI development in China.