How Generative AI can increase your organization’s economic value and outcomes.
Imagine AI as your partner. How will that change your organization and your outcomes? How can you harness this power to create a culture of innovation and economic value? We will explore the influence of different language models.
We find ways to increase your efficiency, improve the customer and employee experience, and help your organization thrive.
What is LLM and what are its limitations?
Large Language Models (LLMs) generate answers to questions, summarize information, and generate creative content.
LLM differs from traditional applications that rely on predefined rules and algorithms to perform specific tasks. Many first-generation commercial LLMs such as ChatGPT, Claude, and Bard were trained to answer generic questions, while the next generation was built using a more focused dataset . You’ll be able to solve deeper, more domain-specific challenges.
Today’s LLM challenge is what Rodney Brooks, former computer science chief at MIT, calls “performance and power.” If humans have achieved something as extraordinary as a Nobel Prize-level problem, such as figuring out how to fold all proteins, what do we do with that knowledge, since we have spent a lifetime accomplishing it? Or maybe you think you understand why it’s important. . In other words, the person will be considered competent.
The problem with AI today, and it could change dramatically in the next 18 months, is that AI understands how proteins fold, but has no idea why, what to do with it, or what the implications are. . Good performance, but not competent.
This is both the opportunity and the limit of AI today. Human performance can be improved dramatically, but human capabilities have not yet improved. It’s up to us.
While Silicon Valley is gearing up for the AI revolution, Rodney Brooks believes the current round of AI innovation will have limited impact due to its capabilities. In fact, this is what we hear in the trenches. Brad Jackson, his CEO at one of the leading software integrators, Slalom, explained in a conversation this week that clients, for the most part, still don’t understand how to extract value from LLMs. In a situation where his client made a breakthrough, he was different from what he was trying to do in the first place. A lot of smoke comes out. Fire?
Other experts disagree with Brooks about the breakthrough potential of recent AI such as LLM. Ken Goldberg, a longtime AI skeptic and director of computer science activities at the University of California, Berkeley, says we are on the road to the breakthrough AI has long promised. I’m confident.
This is important for a reason. The speed of AI development will determine its impact on industries, jobs, and the economy. The digital revolution has taken decades, leaving time for organizations and individuals to upskill and the workforce to age. To take advantage of information technology, companies needed new tools, new infrastructure, new ways of working, and a more educated workforce. Many pieces had to be put in place.
When the AI fire comes, it’s likely to burn hot and fast. More like a meteorite impact than a barbecue.
This is not necessarily a bad thing. Over the next decade, major industries such as healthcare, technology and manufacturing will face cost crises, labor shortages and increased demand. all at the same time.
Hal Varian, chief economist at Alphabet, Google’s parent company, said: arrival parallel just in time deal with this arrival era of labor shortage. “
Will AI save us?
In this series we will find out.
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