New AI Research Introduces Million Expert Mixture for Lifelong Learning
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The AI space may not have as much hype right now. But people still publish papers and share lots of info. This shows that new AI models are getting smarter. A recent paper introduces a new idea called "Parameter Efficient Expert Retrieval" (PEER). This method uses a product key technique to manage a lot of tiny experts. This allows AI to pull from over a million experts for language tasks.
The PEER method can outperform dense models and other expert models. It balances performance and computing power well. Adding new experts and managing them helps the AI model adapt over time. This process stops the model from forgetting old data while learning new stuff. AI can then handle a continuous stream of data without losing its learning ability.
This research could be a big deal. It reduces the cost and memory needed to use AI. It also opens up the idea of lifelong learning for AI models. These models can keep learning from new data forever.
In another area, AI-generated video is also improving fast. A recent example showed an AI-generated pizza commercial. The text in the video was still added using software like After Effects. But the quality of the AI video improved a lot in just one year. People used to think AI video would take years to develop. Text-based AI seemed easier. But now video AI is catching up quickly.
This fast growth shows that AI can develop rapidly. People used to be amazed by models like GPT-4. Now, some think these models are not as smart. But they still use them every day. It's surprising how quickly people adapt to new technology. AI changes even faster than other tech.
In AI regulation news, Mark Anderson and Ben Horowitz met with White House officials. They discussed the risks and control of AI. Officials could classify some math areas as state secrets if they see risks. This could affect AI research and development.
Understanding these developments helps us grasp the pace of AI. Both new methods and regulations shape the future of AI. Keeping up with these changes is key to realizing AI's full potential.
