System in Motion - Blog - Technology for all

In the ever-evolving world of artificial intelligence (AI), a new technology is making waves and promises to revolutionize the way we manage and utilize information. This technology is known as Retrieval-Augmented Generation, or RAG for short.

Navigating the AI Training Landscape: The Difference Between Quality Education and Exploitation Background: Li Yizhou presents himself as an AI specialist, asserting that he holds a Ph.D. from Tsinghua University and has established multiple technology ventures. He has marketed AI training courses across platforms including Douyin, Xiaohongshu, and WeChat, charging a fee of 199 RMB per course. His offerings promise to instruct individuals, even those without prior experience, on utilizing AI tools for content creation, ranging from videos and images to poetry and music. Additionally, he claims to have developed proprietary AI models, such as the Yizhou XL, which he alleges surpass the capabilities of OpenAI’s leading models.

In the digital age, chatbots have become an integral part of customer service, providing instant responses and handling multiple queries simultaneously. However, the recent case of Canadian Airlines serves as a stark reminder of the potential pitfalls of not implementing these AI tools carefully.

In the rapidly evolving world of artificial intelligence (AI), one particular subset has emerged as a game-changer: generative AI. This technology, which includes LLM models like GPT, has the potential to revolutionize industries across the board, from healthcare to finance, and from education to entertainment. However, like any powerful tool, it can be used for both good and bad. In this blog post, we will delve into the intricacies of how users can make AI do what they want, and the risks associated with this capability.

Generative AI, also known as GenAI that can create new content or predictions based on given data, has been a revolutionary concept in the technology world. However, despite its potential to transform business processes, many companies are reluctant to fully embrace it. This reluctance stems from a variety of concerns and barriers, as revealed by research conducted by IBM, Forrester, BCG, and O’Reilly.

January 29th, an enlightening panel discussion was held by La Ruche, the active network of French-speaking women in Shanghai. Moderated by La Ruche’s Jeanne Chabaud, the panel featured insights from Natacha Extier, head of a marketing services agency, and Guillaume Mallet, Account Manager at System In Motion, a company committed to “Empowering the knowledge worker” with AI tools, automation platforms and AI transformation consulting services.