Google Researcher Reveals Secrets of Artificial Intelligence at Harvard Talk!
In a thrilling presentation at the Harvard Machine Learning Foundations Group, Denny Zhou, the founder and lead of the reasoning team for Google DeepMind, shared insights into how he is training artificial intelligence to reason like a human.
Calling his approach a “chain-of-thought,” Zhou combines deep-learning models with neurological machines to bridge the gap between machine and human intelligence. And let’s just say, it’s mind-blowing!
The four elements of Zhou’s groundbreaking approach include: “chain-of-thought,” adding thoughts before reaching a final answer; “self-consistency,” repeatedly sampling and selecting the most frequent answer; “least-to-most,” breaking problems down into smaller parts for easier solving; and “instruction finetuning,” calibrating the AI to assess new problems without additional training.
But don’t get too excited just yet! Zhou cautions that AI still has a long way to go before it catches up to human thinking. While super intelligence may be on the horizon for some, Zhou is just hoping to see a self-driving car in the next 10 years. Can you imagine?
In an interview, Zhou revealed the challenges of scaling up AI in self-driving cars. Each city requires specific data for training models, making it difficult to generalize the technology. On the other hand, humans can easily adapt to driving in different cities without a hitch. It seems human intelligence is still superior!
However, Zhou remains optimistic about the future. He believes that AI models with reasoning capabilities will greatly enhance our experience by improving software and even helping with tasks like writing better text and code. Bigger models will make the world more productive, according to Zhou.
So, what do you think? Are you excited about the advancements in artificial intelligence? Do you believe AI will eventually surpass human intelligence? Let us know in the comments below!
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