Researchers find you don’t need a ton of data to train LLMs for reasoning tasks
With a few hundred well-curated examples, an LLM can be trained for complex reasoning tasks that previously required thousands of instances.
DeepSeek Doesn’t Scare OpenAI, Thanks to the ‘Jevons Paradox’
The economic theory, which traces to 1865, says that as a resource becomes more efficient to use, demand will increase. It ...
Deep learning provides new view on 300 million years of brain evolution
In a new study published in Science, a Belgian research team explores how genetic switches controlling gene activity define ...
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The Many Faces of Reinforcement Learning: Shaping Large Language Models
In recent years, Large Language Models (LLMs) have significantly redefined the field of artificial intelligence (AI), ...
Less supervision, better results: Study shows AI models generalize more effectively on their own
Training LLMs and VLMs through reinforcement learning delivers better results than using hand-crafted examples.
What DeepSeek’s Launch Means For The Human-in-the-Loop AI Market
DeepSeek’s AI model challenges traditional HITL approaches, using synthetic data and expert input to reshape AI training and ...