In a blog post today, Apple engineers have shared new details on a collaboration with NVIDIA to implement faster text generation performance with large language models. Apple published and open ...
San Diego-based startup Kneron Inc., an artificial intelligence company pioneering neural processing units for the edge, today announced the launch of its next-generation KL1140 chip Founded in 2015, ...
The ability to significantly reduce LLM decoding latency could lead to reduced computational resource requirements, making these powerful AI models more accessible and affordable to a wider range of ...
New “AI SOC LLM Leaderboard” Uniquely Measures LLMs in Realistic IT Environment to Give SOC Teams and Vendors Guidance to Pick the Best LLM for Their Organization Simbian's industry-first benchmark ...
NVIDIA Boosts LLM Inference Performance With New TensorRT-LLM Software Library Your email has been sent As companies like d-Matrix squeeze into the lucrative artificial intelligence market with ...
The rise of Large Language Models (LLMs) in financial services has unlocked new possibilities, from real-time credit scoring and automated compliance reporting to fraud detection and risk analysis.
Simbian today announced the “AI SOC LLM Leaderboard,” a comprehensive benchmark to measure LLM performance in Security Operations Centers (SOCs). The new benchmark compares LLMs across a diverse range ...
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Speeding Up LLM Output with Speculative Decoding
Speculative decoding accelerates large language model generation by allowing multiple tokens to be drafted swiftly by a lightweight model before being verified by a larger, more powerful one. This ...
One of the most energetic conversations around AI has been what I’ll call “AI hype meets AI reality.” Tools such as Semush One and its Enterprise AIO tool came onto the market and offered something we ...
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