«Generative AI and its possibilities. (3/5). In a universe where technology is constantly evolving, the business world is undergoing an unprecedented revolution. Major companies like Meta, Google, and AWS are even being overtaken by the lightning speed of generative AI, primarily thanks to the launch of ChatGPT. What does this mean for the business world? Is this truly a change to come? Yes, without a doubt.
The development of generative AI is the result of the convergence of three crucial factors. Firstly, it relies on the creation of a new AI model called «Transformers», which emerged from Google's research. This model surpasses its predecessor, recurrent neural networks, thanks to its notable ability to Parallel processing. Furthermore, it takes advantage of the ability to «crawl» and reorganise the entirety of the internet, allowing unprecedented access to human knowledge on a massive scale. Finally, this evolution is greatly reinforced by the advent of Specialised processors, such as GPUs, which are perfectly suited to the calculations required for AI. The company OpenAI has been able to capitalise on these technological advances to offer, in particular, a conversational agent for the general public: ChatGPT.
The potential of generative AI is vast; it can create new content such as images, text, 3D models, and music. Furthermore, it allows for an unprecedented understanding and organisation of complex textual data, thus radically revolutionising our interaction with systems and documents.
The emergence of this technology may lead companies to rethinking the very structure of their information systems. Traditional office tools, customer service, and the way we interact with applications will be transformed thanks to generative AI. Furthermore, with ChatGPT, access to relevant company data is greatly simplified and can be shared more widely, thereby optimising information dissemination.
ChatGPT is already used daily in many companies for summarisation or reformulation tasks. However, the question of data privacy and preservation remains important for the company, highlighting the need to raise further employee awareness on this subject.
If it only knows information prior to September 2021, ChatGPT can be linked to a search engine to take more recent information into account, or directly to company data, thanks to the RAG (Retrieval Augmented Generation) principle. However, this involves sending company data to OpenAI, which once again raises the issue of confidentiality.
However, there is Limitations of AI currently. «Hallucinations» or inaccurate responses, the legal risk on training data, biases associated with learning, and ethics are among some of them. In particular, significant computing resources are needed for learning, resulting in considerable costs and delays.1.2 million$ for the training of GPT 3).
Alongside the success of ChatGPT, there is a Towards open AI models with licences of use compatible with commercial use, allowing for both greater transparency on the workings of algorithms and customisation possibilities for each company. It becomes possible, at reasonable costs, to train models to incorporate specific vocabulary or domain-specific information.
It is already evident that generative AI will become A major competitive advantage for companies that effectively leverage their textual data. Even though the technical solutions for integrating generative AI into businesses are not yet fully mature, it would be wise to identify certain actions to implement now, given the power and speed of the upcoming technological wave.
In conclusion, generative AI is a true revolution which is spectacularly transforming the corporate technology landscape. More than just a tool, it's a new way of conceiving interaction with data, facilitating access to information, optimising exchanges and customer services while offering new possibilities in terms of automation and content generation.
Pioneering companies such as Generali and Orange have already begun to harness its potential for their tenders, or to adapt application interfaces for their maintenance technicians. This is a strong signal: Generative AI is not only a technology of the future, but it is already concretely available today..
Therefore, it is essential for businesses to to adapt and begin to consider AI training models (prompt engineering to learn how to interact well with an LLM), to make the most of this technological revolution. Nevertheless, this will require vigilance regarding the challenges, including the crucial issues of data privacy and inherent AI bias.
