OpenAI to let companies customize its most powerful AI
OpenAI to let companies customize its most powerful AI model
How AI can help start small businesses
AI Is about to boost power bills
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OpenAI to let companies customize its most powerful AI model GPT-4o
OpenAI is set to unveil a new feature that will enable corporate clients to leverage their proprietary data to tailor the capabilities of its advanced model, GPT-4o. This initiative comes amid increasing pressure on businesses to showcase the returns on their AI investments.
The customization feature, commonly referred to as fine-tuning in the AI community, is scheduled for release on Tuesday. Fine-tuning allows existing AI models to be adapted with additional information specific to certain tasks or subject areas. For instance, a skateboard manufacturer could fine-tune an AI model to function as a customer service chatbot, equipped to handle inquiries about wheels and maintenance tips for boards.
This marks a significant development for OpenAI's flagship model, as fine-tuning has not been previously available for GPT-4o or its predecessor, GPT-4. However, the company has permitted users to fine-tune several of its smaller models, including the more affordable and streamlined GPT-4o mini.
To initiate the fine-tuning process, customers will need to upload their data to OpenAI’s servers. According to John Allard, an OpenAI software engineer specializing in customization, the training process typically takes between one to two hours. Initially, users will be limited to fine-tuning the model with text-based data, excluding images or other content types.
OpenAI notes, “Users can already produce strong results for their use cases with as little as a few dozen examples in their training dataset.” This suggests that even small businesses or organizations with limited data can benefit from this technology….
Originally by Rachel Metz of Bloomberg
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How AI can help start small businesses
Entrepreneurs are reporting that the integration of artificial intelligence into various business tasks is significantly accelerating their journey toward hiring and profitability.
Sean Ammirati, a professor at Carnegie Mellon University, has been teaching entrepreneurship for over a decade, guiding groups of mostly graduate students to launch businesses from scratch during the spring semester. This year, however, Ammirati observed a remarkable shift in his students' progress. “I have a pretty good sense of how fast students should progress in a semester,” he noted. “In 14 years, I’ve never seen students make the kind of progress that they made this year.”
The reason for this unprecedented change was clear to him: for the first time, Ammirati encouraged his students to incorporate generative artificial intelligence into their entrepreneurial processes. “Think of generative AI as your co-founder,” he advised them.
Students utilized generative AI tools such as ChatGPT, GitHub, and Copilot to assist with a range of tasks, including marketing, coding, product development, and early customer recruitment.
For many entrepreneurs, generative AI has already proven to be a transformative asset. It aids in writing complex code, deciphering intricate legal documents, crafting social media posts, editing content, and even addressing payroll inquiries. As a result, entrepreneurs claim that AI has enabled them to launch their companies more swiftly and efficiently than they could have achieved without it….
Originally by Sydney Ember of the New York Times
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AI Is about to boost power bills
High energy prices are proving to be a boon for power-plant owners, but they are also raising challenging questions about the future of energy costs. The surge in demand driven by AI-powered, energy-intensive data centers is prompting concerns about potential increases in energy bills and who will ultimately bear those costs. The effects are already being felt in America’s largest wholesale power market.
The rapid expansion of data centers is driving up electricity demand at a time when the retirement of older power plants is diminishing supply in the PJM Interconnection, the independent system operator overseeing the wholesale power market across 13 states, including Virginia, Pennsylvania, and Illinois.
While high prices typically incentivize the construction of new power plants, the process can take up to five years if starting from scratch, according to Hugh Wynne, co-head of utilities and renewable energy research at SSR. “What we’re seeing in the latest capacity auction is just the tip of the iceberg,” Wynne remarked, implying growing future capacity needs.
Utilities that purchase electricity from these producers have already indicated that consumer bills will rise. Chicago-based utility Exelon announced during its latest earnings call that rates will increase by double-digit percentages in some areas due to higher energy prices. Similarly, PPL Corp., which serves Pennsylvania, Kentucky, and Virginia, projected that higher electricity prices would lead to an increase of $10 to $15 per month on utility bills starting next year.