Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

In December, the artificial intelligence company Anthropic unveiled its newest tool, Interviewer, used in its initial implementation "to help understand people's perspectives on AI," according to a ...

The GRP‑Obliteration technique reveals that even mild prompts can reshape internal safety mechanisms, raising oversight ...

True or chatty: pick one. A new training method lets users tell AI chatbots exactly how 'factual' to be, turning accuracy into a dial you can crank up or down. A new research collaboration between the ...

The old logic for building a fast PC died in the AI era.

LM Studio isn't limited to just desktops and laptops anymore.

A malicious campaign is actively targeting exposed LLM (Large Language Model) service endpoints to commercialize unauthorized ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...

“Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI ...

Stock splits don’t boost intrinsic value, but they lead to higher trading volumes and more attention from investors. Identifying stocks before splits are announced can lead to higher returns, but it’s ...

Nvidia Corp. is reportedly in advanced talks to acquire AI21 Labs Ltd., a startup that develops large language models and agent development tools. Calcalist reported today that a deal could be worth ...

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