A new study shows that fine-tuning ChatGPT on even small amounts of bad data can make it unsafe, unreliable, and veer it wildly off-topic. Just 10% of wrong answers in training data begins to break ...
Tech Xplore on MSN
Interrupting encoder training in diffusion models enables more efficient generative AI
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as ...
Tech Xplore on MSN
Using generative AI to diversify virtual training grounds for robots
Chatbots like ChatGPT and Claude have experienced a meteoric rise in usage over the past three years because they can help ...
Artificial intelligence is now built directly into many SaaS platforms, and that shift has created a new testing challenge. These systems don’t just run code, they generate predictions, adapt to fresh ...
This work, combining behavioural genetics and calcium imaging, provides evidence for a form of learning in Drosophila that derives solely from direct or (optogenetically induced) phantom experience of ...
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