“The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill ...
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 ...
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 ...
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 ...
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 ...
Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
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 ...
A research article by Horace He and the Thinking Machines Lab (X-OpenAI CTO Mira Murati founded) addresses a long-standing issue in large language models (LLMs). Even with greedy decoding bu setting ...
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How SoundHound's hybrid AI model beats pure LLM players
SoundHound AI’s SOUN competitive edge lies in its hybrid AI architecture, which blends proprietary deterministic models with ...
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