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The first phase of the Digital Union Technology Salon ended successfully| AI Frenz: A First Look at Big Models from chatGPT

author:Digital Union Technology

The emergence of Chatgpt has sparked a new round of attention to big language models. On June 6th, focusing on the theme of "AI Frenzia: A First Look at Big Models from chatGPT", the first phase of [GeekGoGo Technology Salon] initiated by Digital Alliance Technology Research Institute ended successfully.

The first phase of the Digital Union Technology Salon ended successfully| AI Frenz: A First Look at Big Models from chatGPT

In this issue, the salon invited experts from various teams of Digital Alliance to share from multiple perspectives such as market prospects, technology development, and product application of large models, leading everyone to explore the mysteries of large models. The whole event atmosphere was warm, and the audience said that they had gained a lot.

The first phase of the Digital Union Technology Salon ended successfully| AI Frenz: A First Look at Big Models from chatGPT

Li Caiwei of the Marketing Center shared the commercialization path of enterprises under the large model market and the implementation of China's large language model industry value chain, and discussed the landing mode of the large model industry. This round of technology boom triggered by ChatGPT, Internet giants have entered the game. Large model technology is not only a key area for academia, but also the industry is expecting it to accelerate its landing in various scenarios.

The first phase of the Digital Union Technology Salon ended successfully| AI Frenz: A First Look at Big Models from chatGPT

Xu Dengyou of the Algorithm Research Center introduced the background, development process, basic principles, intelligent capabilities and application scenarios of large model technology, and shared the technical solutions, construction process and application effects of building large models in the field based on the application of large military models of data - intelligent Q&A. The general large model has certain knowledge blind spots for knowledge involving professional field background. The construction of a large domain model can effectively solve the problem of subdivision scenarios in the field and meet the needs of enterprises for professionalism, compliance, and scale.

The first phase of the Digital Union Technology Salon ended successfully| AI Frenz: A First Look at Big Models from chatGPT

Song Lingao of the Product R&D Center shared the generalization of large models, the development of large models at home and abroad, and the application of large models related products from the perspective of products. Finally, the product planning of the digital intelligence platform "Digital Link Xingzhi" was explained, as a one-stop AI full-stack development platform, which will combine traditional machine learning, computer vision, natural language processing, OCR multi-modality, cloud-edge collaboration, model application and other technologies to cover more AI neighborhoods and have faster model training capabilities.

During the discussion session, the audience actively and enthusiastically shared their experiences and insights. We look forward to more such technical exchange activities, learning from each other and making progress together.

The first phase of the Digital Union Technology Salon ended successfully| AI Frenz: A First Look at Big Models from chatGPT
The first phase of the Digital Union Technology Salon ended successfully| AI Frenz: A First Look at Big Models from chatGPT

Thank you to all the partners who participated, as well as the leading colleagues of various departments of the preparatory group such as product development center, marketing center, algorithm research center, human resources center, achievement transformation center and other preparatory groups for their strong support!

GeekGoGo · Technology Salon

GeekGoGo Technology Salon is initiated by the Technology Research Institute, aiming to build a platform for displaying cutting-edge technology and innovation exchanges, and is also conducive to strengthening internal learning team building, encouraging internal personnel to learn, communicate and grow from each other, improving the technical knowledge base of product pre-sales, market expansion and other personnel, and improving cooperation efficiency. In the later stage, the technical salon will be carried out irregularly as one of the regular activities to build a bridge of communication and continue to create a strong atmosphere of technical exchange.