Reinforcement fine-tuning from OpenAI is here. In a post last week, I highlighted how providing the ability to customize models locally can be a major revenue source for providers but, more importantly, a game changer for the LLM commercialization world. The reinforcement training announcement from OpenAI today is just that, going by the wording of the press release: "This new model customization technique enables developers to customize our models using dozens to thousands of high-quality tasks and grade the model’s response with provided reference answers. This technique reinforces how the model reasons through similar problems and improves its accuracy on specific tasks in that domain." This is the secret sauce if you want to commercialize AI applications in enterprises massively. But as you can imagine, it largely depends on how well and how fast organizations can master the art of "customization". And this in itself is a major business opportunity, helping organizations with this customization. Other providers will replicate this soon. But in the end, the one that can help enterprises "customize" faster, better, and with marketing-worthy results will prevail. In the next five years, you will not see the same landscape of AI model providers. The great news is, enterprises can now paint their own vision, on their own canvas, leveraging such offerings. Exciting times and let the journey begin! #ai #ml #datascience #tech #technology