Here’s what the neolabs are building and why their approaches could unlock new opportunities and cost structures for startups ...
Generative AI is beginning to reshape not just business operations but the way companies think, according to a new analysis in the Harvard Business Review. While many executives focus on efficiency ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
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Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
Salesforce is reducing its reliance on generative AI. The company faced reliability problems with large language models.
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What if we could catch AI misbehaving before it acts? Chain of Thought monitoring explained
As large language models (LLMs) grow more capable, the challenge of ensuring their alignment with human values becomes more urgent. One of the latest proposals from a broad coalition of AI safety ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
Since the 2000s, Google Search—and later YouTube and Discover—served as the primary discovery and monetization engines for ...
Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...
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