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Tech Xplore on MSNToward a new framework to accelerate large language model inferenceHigh-quality output at low latency is a critical requirement when using large language models (LLMs), especially in ...
Speculative decoding has emerged as a potential solution for speeding up inferences using large language models (LLMs).
Llama has evolved beyond a simple language model into a multi-modal AI framework with safety features, code generation, and multi-lingual support. Llama, a family of sort-of open-source large ...
New OpenAI gpt-oss models aim for low-resource performance and enterprise use, though their real-world capabilities remain ...
In another approach, Pradel and Ph.D. researcher Aryaz Eghbali have presented De-Hallucinator, a technique for mitigating LLM ...
The powerful new multi-modal model boosts reasoning, code generation, and real-time inference, and will be available to both ...
There's been little improvement in how well AI models handle core security decisions, says a report from application security ...
The next generation of AI in cybersecurity will be built on three converging frontiers: Agentic AI Agentic systems are LLM-powered entities that can reason, plan and take action with constraints.
"The current generation of large language models (LLMs), such as ChatGPT, learns language in a very different way," adds Paul Van Eecke.
More powerful and pervasive large language models are creating a new cybersecurity challenge for companies. The risks posed by LLMs, a form of generative artificial intelligence that communicates ...
A U.S. Air Force combat systems officer from the 73rd Special Operations Squadron showcases a 105 mm cannon on an AC-130J Ghostrider to other U.S. service members at Al Udeid Air Base, Qatar, June 28, ...
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