Adaption, a rising AI research company, is pushing the boundaries of self-improving AI systems. They recently launched AutoScientist, a new tool designed to help AI models learn and improve specific skills more quickly and efficiently. This innovation aims to reduce the need for extensive manual fine-tuning, potentially accelerating progress in frontier AI development. What AutoScientist
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All posts tagged in Fine-tuning
Recent changes in the AI landscape suggest a move away from traditional fine-tuning methods. OpenAI has announced the deprecation of their fine-tuning APIs, marking a significant shift in how models are adapted for specific tasks. For years, fine-tuning was considered a key technique for customizing AI, allowing developers to achieve high performance at lower costs.
Researchers have developed a new fine-tuning technique that helps large language models learn new skills without losing what they already know. This approach aims to fix a common problem called “catastrophic forgetting,” which happens when models forget previous knowledge after updates. The new method is designed to make updating AI systems easier and more cost-effective
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Enterprises are increasingly focused on tailoring AI models to better understand and serve their unique business needs. While many organizations have already adopted AI solutions, they often face challenges in making these models truly align with their specific contexts. AWS has introduced a new service, Nova Forge, aimed at empowering businesses to customize foundation large
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A new open-source AI system called K2 Think has been introduced by researchers at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) and G42. This model is designed to improve reasoning capabilities while maintaining a compact size. It’s a significant step forward for AI, showing that smaller models can perform at levels previously thought possible
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