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 ...
Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...
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How SoundHound's Hybrid AI Model Beats Pure LLM Players
SOUN's hybrid AI model blends speed, accuracy, and cost control-outpacing LLM-only rivals in real-world deployments.
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 ...
While most countries’ lawmakers are still discussing how to put guardrails around artificial intelligence, the European Union is ahead of the pack, having passed a risk-based framework for regulating ...
MLCommons, the open engineering consortium for benchmarking the performance of chipsets for artificial intelligence, today unveiled the results of a new test that’s geared to determine how quickly ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Rearranging the computations and hardware used to serve large language ...
Apple is Working on Running AI on iPhones and iPads Your email has been sent Apple has released two research papers expanding the possibilities of generative AI. One paper solves a problem that was ...
The history of computing teaches us that software always and necessarily lags hardware, and unfortunately that lag can stretch for many years when it comes to wringing the best performance out of iron ...
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