At the same time, I am very grateful to three senior iran phone number lookup industry professionals - Wan Jun, author of "Large Language Model Application Guide", Li Chaoming, head of product and research of Express, and Zh J, vice president of textile production. Research of Zhj Technology Group, for their wonderful speeches. The three guests shared valuable experiences and successful cases in the technical application scenarios and business practices of AI large models, which brought profound knowledge and inspiration to the participants. . Large Language Model Application Guide Speaker: S Software Engineer, author of "Large Language Model Application Guide" wj In this speech, Teacher Wan Jun first reviewed the major historical moments in the development of artificial intelligence, from the proposal of the Turing machine to the success of AlphaGo, showing the audience the development of AI technology.
Then, it goes deeper into the basics of large models, explaining the mechanism of pre-training and fine-tuning, as well as the possibilities and limitations of the model in prediction, reasoning and logical processing. Teacher Wan shared practical tips for effective interaction with large models,Emphasizing the key role of rapid engineering in improving interaction efficiency, and explaining how to use the short-term memory and long-term memory of the model to optimize application effects. At the same time, a system based on retrieval-enhanced generation () is specifically introduced, illustrating how this technology can significantly improve the performance of the model.
