Smarter AI Models are Redefining Accuracy

In recent years, artificial intelligence (AI) has moved from the fringes of technological advancement to the center stage of innovation. Companies like OpenAI and Microsoft are continually pushing the boundaries, releasing more intelligent, faster, and increasingly accurate AI models. Two such developments that have made headlines include OpenAI’s newest iteration of ChatGPT and Microsoft’s Wave 2 of Microsoft 365 CoPilot. These updates exemplify how rapidly AI technology is evolving, with significant enhancements in performance, accuracy, and user satisfaction.

The most recent release of OpenAI’s flagship Large Language Model (LLM), ChatGPT o1, marks a significant leap in intelligence over its predecessor, ChatGPT-4o. OpenAI data show that the newer model is more adept at understanding complex queries, generating more nuanced responses, and adapting to a wider range of conversational topics1. This leap in intelligence has come in a remarkably short period between the two versions, roughly 4 months, highlighting how quickly AI technology can improve with focused development.

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ChatGPT o1 is not just a small upgrade; it’s a smarter machine capable of handling more diverse scenarios and technical questions. In specific, OpenAI data show that the new version received a higher score when assessed with PhD-Level Science Questions (also known as GPQA Diamond), with the o1 model being OpenAI’s first to achieve a higher score than a human expert in the field1. These improvements come from leveraging more data, advanced training methods, and enhanced algorithms that push the boundaries of what we thought possible even a year ago. OpenAI’s commitment to constantly evolving its models is a testament to how fast AI technology can progress.

Results and chart courtesy of OpenAI1

Improved accuracy is where AI has truly shown remarkable progress in recent months. Accuracy matters in everything from mundane tasks like drafting emails to more complex activities like data analysis and decision-making. A May 2024 study by McKinsey showed that ‘Inaccuracy’ was the #1 risk that organizations perceived when contemplating the adoption of GenAI technology2. Executives are ever conscious of the precious trust they have built with customers and have been unwilling to let technology potentially wreck those relationships, but perhaps it’s time for a second look.

Chart courtesy of McKinsey2

With Microsoft’s recent release of ‘Wave 2 of Microsoft 365 CoPilot’, users are seeing AI-powered technology that is smarter, more intuitive, and, above all, more accurate. According to Microsoft’s internal metrics, this new release has demonstrated a threefold increase in user satisfaction of responses, largely due to its improved accuracy in generating relevant and helpful answers3. As AI systems become more capable of producing precise, contextually relevant answers, they may become indispensable tools across various sectors with the largest concern addressed.

In short, recent advancements from companies like OpenAI and Microsoft underline the rapid evolution of AI technology. Models like ChatGPT o1 and applications like Microsoft 365 CoPilot showcase dramatic improvements in intelligence, speed, and accuracy over their predecessors released just months ago. It’s clear that as AI is becoming smarter it’s earning the right to become more integrated into our workflows, making life easier and more efficient. As these technologies continue to evolve, the potential applications and benefits will only grow. It’s likely to usher in a future where AI plays an even more significant role in shaping how we live and work.

For more content by Blake Anderson, Senior Analyst, Investments click here.

 

 

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