Senior Customer Service Manager & Automation Lead at Orange Business | M.Sc. in Informatics (AI) | ITIL Strategist | Data-Driven Transformation
I would argue that yesterday's announcement of GPT 4o by OpenAI marks a shift in focus of big tech companies, from developing more intelligent models to developing more useful ones. The AI community (then called ML community) realized since Alexnet was proposed in 2012, that scale matters. Tech giants pushed this notion to its limits, throwing more compute power and data into the models. Coupled with the rise of scalable transformer architectures, this scaling effort culminated in the emergence of powerful Large Language Models (LLMs) with remarkable capabilities. OpenAI got things rolling big time in November 2022 with their ChatGPT chatbot, which made the technology accessible to a wider audience. This sparked an AI craze leading up to a host of models from many companies. With every new model, benchmarks were exceeded as the models' cognitive capabilities improved. At the same time, a plethora of applications were developed, seeking to harness the new-found intelligence to solve real business problems. We have come a long way in developing 'intelligent' models. Yet, the models' usefulness is contingent on how context-aware they are. (along with cost, speed, safety and other considerations of course). Intelligence of the models, once the primary constraint, is now merely one facet of the models' potential. The GPT 4o is a step towards practicality and usefulness. Its utility is characterized by being fast, its ability to understand more context of different modalities, and its ability to figure out emotions and synthesize voice. While the AI models will continue to get smarter, faster and more energy-efficient, my take is that, there will be a great deal of interest and money that goes into improving the way we interact with them in a safe, and reliable manner, and in how they may become more context-aware. The future is exciting and again, what a time to be living!
Senior Software Engineer at CARIAD
7moHave you written all this post on your own? Wow! Fine. Jokes aside, I heard that chatGPT 4, while having made advancements on ingesting video and image content, is struggling more with analyzing and understanding text, even more than the current version 3.